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multilabel_paragraph

Text Classification
Transformers
Safetensors
modernbert
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multilabel_paragraph

This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1291
  • Classification Report Lin: {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}
  • Hamming Lin: 0.0113
  • Classification Report Si: {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}}
  • Hamming Si: 0.0211
  • Classification Report Cl: {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}}
  • Hamming Cl: 0.0313
  • Classification Report D: {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}}
  • Hamming D: 0.0022
  • Classification Report Hi: {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}
  • Hamming Hi: 0.0038
  • Classification Report Pl: {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}}
  • Hamming Pl: 0.0270
  • Classification Report Ti: {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}}
  • Hamming Ti: 0.0329
  • Classification Report Pc: {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}
  • Hamming Pc: 0.0157
  • Global Avg: {'f1-score': 0.6404785561354858, 'hamming': 0.018156047516198703}

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 3
  • total_train_batch_size: 768
  • total_eval_batch_size: 768
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Classification Report Lin Hamming Lin Classification Report Si Hamming Si Classification Report Cl Hamming Cl Classification Report D Hamming D Classification Report Hi Hamming Hi Classification Report Pl Hamming Pl Classification Report Ti Hamming Ti Classification Report Pc Hamming Pc Global Avg
No log 1.0 9 0.0937 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}} 0.0977 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866}
No log 2.0 18 0.0887 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}} 0.0977 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866}
No log 3.0 27 0.0852 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}} 0.0977 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866}
No log 4.0 36 0.0833 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}} 0.0977 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866}
No log 5.0 45 0.0767 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9060803474484256, 'recall': 0.9988031119090365, 'f1-score': 0.9501850270424139, 'support': 1671.0}, 'CL': {'precision': 0.8, 'recall': 0.04419889502762431, 'f1-score': 0.08376963350785341, 'support': 181.0}, 'accuracy': 0.9055075593952484, 'macro avg': {'precision': 0.8530401737242128, 'recall': 0.5215010034683304, 'f1-score': 0.5169773302751337, 'support': 1852.0}, 'weighted avg': {'precision': 0.8957128836859174, 'recall': 0.9055075593952484, 'f1-score': 0.8655083606116604, 'support': 1852.0}} 0.0945 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.4986247404493045, 'hamming': 0.02564794816414687}
No log 6.0 54 0.0693 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9413092550790068, 'recall': 0.9982046678635548, 'f1-score': 0.9689224513505663, 'support': 1671.0}, 'CL': {'precision': 0.9625, 'recall': 0.425414364640884, 'f1-score': 0.5900383141762452, 'support': 181.0}, 'accuracy': 0.9422246220302376, 'macro avg': {'precision': 0.9519046275395033, 'recall': 0.7118095162522193, 'f1-score': 0.7794803827634058, 'support': 1852.0}, 'weighted avg': {'precision': 0.9433802728061665, 'recall': 0.9422246220302376, 'f1-score': 0.9318932781170068, 'support': 1852.0}} 0.0578 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.5314376220103385, 'hamming': 0.021058315334773217}
No log 7.0 63 0.0657 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9794933655006032, 'recall': 0.9718731298623579, 'f1-score': 0.9756683688795434, 'support': 1671.0}, 'CL': {'precision': 0.7577319587628866, 'recall': 0.8121546961325967, 'f1-score': 0.784, 'support': 181.0}, 'accuracy': 0.9562634989200864, 'macro avg': {'precision': 0.8686126621317449, 'recall': 0.8920139129974773, 'f1-score': 0.8798341844397717, 'support': 1852.0}, 'weighted avg': {'precision': 0.9578201394641416, 'recall': 0.9562634989200864, 'f1-score': 0.9569362010786809, 'support': 1852.0}} 0.0437 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9734848484848485, 'recall': 0.9983351831298557, 'f1-score': 0.9857534246575342, 'support': 1802.0}, 'PL': {'precision': 0.25, 'recall': 0.02, 'f1-score': 0.037037037037037035, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.6117424242424243, 'recall': 0.5091675915649279, 'f1-score': 0.5113952308472857, 'support': 1852.0}, 'weighted avg': {'precision': 0.9539523201780221, 'recall': 0.9719222462203023, 'f1-score': 0.9601401312552531, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.5462614782241255, 'hamming': 0.019438444924406047}
No log 8.0 72 0.0612 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9767580452920143, 'recall': 0.9808497905445841, 'f1-score': 0.9787996416840848, 'support': 1671.0}, 'CL': {'precision': 0.8160919540229885, 'recall': 0.7845303867403315, 'f1-score': 0.8, 'support': 181.0}, 'accuracy': 0.9616630669546437, 'macro avg': {'precision': 0.8964249996575013, 'recall': 0.8826900886424578, 'f1-score': 0.8893998208420424, 'support': 1852.0}, 'weighted avg': {'precision': 0.9610557977111862, 'recall': 0.9616630669546437, 'f1-score': 0.9613251626642039, 'support': 1852.0}} 0.0383 {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}} 0.0054 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9775219298245614, 'recall': 0.9894561598224195, 'f1-score': 0.9834528405956977, 'support': 1802.0}, 'PL': {'precision': 0.32142857142857145, 'recall': 0.18, 'f1-score': 0.23076923076923078, 'support': 50.0}, 'accuracy': 0.9676025917926566, 'macro avg': {'precision': 0.6494752506265664, 'recall': 0.5847280799112098, 'f1-score': 0.6071110356824643, 'support': 1852.0}, 'weighted avg': {'precision': 0.95980882619616, 'recall': 0.9676025917926566, 'f1-score': 0.963132008796927, 'support': 1852.0}} 0.0324 {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}} 0.0308 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.5594216583788068, 'hamming': 0.019303455723542116}
No log 9.0 81 0.0615 {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}} 0.0092 {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9673849737914968, 'recall': 0.9940155595451825, 'f1-score': 0.9805194805194806, 'support': 1671.0}, 'CL': {'precision': 0.9259259259259259, 'recall': 0.6906077348066298, 'f1-score': 0.7911392405063291, 'support': 181.0}, 'accuracy': 0.9643628509719222, 'macro avg': {'precision': 0.9466554498587114, 'recall': 0.8423116471759062, 'f1-score': 0.8858293605129048, 'support': 1852.0}, 'weighted avg': {'precision': 0.9633330906037709, 'recall': 0.9643628509719222, 'f1-score': 0.9620109365441133, 'support': 1852.0}} 0.0356 {'~D': {'precision': 0.9972929074174337, 'recall': 1.0, 'f1-score': 0.9986446191379778, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.5, 'f1-score': 0.6666666666666666, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.9986464537087169, 'recall': 0.75, 'f1-score': 0.8326556429023222, 'support': 1852.0}, 'weighted avg': {'precision': 0.9973075245480091, 'recall': 0.9973002159827213, 'f1-score': 0.9968520815976359, 'support': 1852.0}} 0.0027 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9735278227984873, 'recall': 1.0, 'f1-score': 0.9865863673692855, 'support': 1802.0}, 'PL': {'precision': 1.0, 'recall': 0.02, 'f1-score': 0.0392156862745098, 'support': 50.0}, 'accuracy': 0.9735421166306696, 'macro avg': {'precision': 0.9867639113992437, 'recall': 0.51, 'f1-score': 0.5129010268218976, 'support': 1852.0}, 'weighted avg': {'precision': 0.9742425144075993, 'recall': 0.9735421166306696, 'f1-score': 0.9610094051367052, 'support': 1852.0}} 0.0265 {'~TI': {'precision': 0.9697133585722012, 'recall': 0.9988857938718663, 'f1-score': 0.9840834248079035, 'support': 1795.0}, 'TI': {'precision': 0.3333333333333333, 'recall': 0.017543859649122806, 'f1-score': 0.03333333333333333, 'support': 57.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.6515233459527673, 'recall': 0.5082148267604946, 'f1-score': 0.5087083790706184, 'support': 1852.0}, 'weighted avg': {'precision': 0.9501271482921713, 'recall': 0.968682505399568, 'f1-score': 0.9548216779320663, 'support': 1852.0}} 0.0313 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.5910156260345777, 'hamming': 0.01795356371490281}
No log 10.0 90 0.0656 {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}} 0.0097 {'~SI': {'precision': 0.98, 'recall': 0.9994487320837927, 'f1-score': 0.9896288209606987, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.02631578947368421, 'f1-score': 0.05, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.74, 'recall': 0.5128822607787384, 'f1-score': 0.5198144104803494, 'support': 1852.0}, 'weighted avg': {'precision': 0.9701511879049676, 'recall': 0.9794816414686826, 'f1-score': 0.970349179925868, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.9673659673659674, 'recall': 0.9934171154997008, 'f1-score': 0.9802184824328314, 'support': 1671.0}, 'CL': {'precision': 0.9191176470588235, 'recall': 0.6906077348066298, 'f1-score': 0.7886435331230284, 'support': 181.0}, 'accuracy': 0.9638228941684666, 'macro avg': {'precision': 0.9432418072123954, 'recall': 0.8420124251531653, 'f1-score': 0.8844310077779298, 'support': 1852.0}, 'weighted avg': {'precision': 0.9626505537722346, 'recall': 0.9638228941684666, 'f1-score': 0.9614954447303073, 'support': 1852.0}} 0.0362 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9785123966942149, 'recall': 0.9855715871254163, 'f1-score': 0.9820293060547415, 'support': 1802.0}, 'PL': {'precision': 0.2972972972972973, 'recall': 0.22, 'f1-score': 0.25287356321839083, 'support': 50.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6379048469957561, 'recall': 0.6027857935627081, 'f1-score': 0.6174514346365662, 'support': 1852.0}, 'weighted avg': {'precision': 0.9601210603174082, 'recall': 0.964902807775378, 'f1-score': 0.9623436758485765, 'support': 1852.0}} 0.0351 {'~TI': {'precision': 0.9755962285080422, 'recall': 0.9799442896935933, 'f1-score': 0.9777654252362423, 'support': 1795.0}, 'TI': {'precision': 0.2653061224489796, 'recall': 0.22807017543859648, 'f1-score': 0.24528301886792453, 'support': 57.0}, 'accuracy': 0.9568034557235421, 'macro avg': {'precision': 0.6204511754785109, 'recall': 0.6040072325660949, 'f1-score': 0.6115242220520835, 'support': 1852.0}, 'weighted avg': {'precision': 0.953735247921991, 'recall': 0.9568034557235421, 'f1-score': 0.9552214202886213, 'support': 1852.0}} 0.0432 {'~PC': {'precision': 0.9859307359307359, 'recall': 0.9978094194961665, 'f1-score': 0.9918345127925966, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9838012958963283, 'macro avg': {'precision': 0.49296536796536794, 'recall': 0.49890470974808326, 'f1-score': 0.4959172563962983, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720893757070862, 'recall': 0.9838012958963283, 'f1-score': 0.9779102701723982, 'support': 1852.0}} 0.0162 {'f1-score': 0.6250259559067722, 'hamming': 0.02085583153347732}
No log 11.0 99 0.0679 {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}} 0.0097 {'~SI': {'precision': 0.9804878048780488, 'recall': 0.9972436604189636, 'f1-score': 0.9887947526646624, 'support': 1814.0}, 'SI': {'precision': 0.2857142857142857, 'recall': 0.05263157894736842, 'f1-score': 0.08888888888888889, 'support': 38.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.6331010452961672, 'recall': 0.524937619683166, 'f1-score': 0.5388418207767757, 'support': 1852.0}, 'weighted avg': {'precision': 0.9662321927137815, 'recall': 0.9778617710583153, 'f1-score': 0.9703301615072761, 'support': 1852.0}} 0.0221 {'~CL': {'precision': 0.9775280898876404, 'recall': 0.9892280071813285, 'f1-score': 0.983343248066627, 'support': 1671.0}, 'CL': {'precision': 0.8881987577639752, 'recall': 0.7900552486187845, 'f1-score': 0.8362573099415205, 'support': 181.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.9328634238258078, 'recall': 0.8896416279000565, 'f1-score': 0.9098002790040738, 'support': 1852.0}, 'weighted avg': {'precision': 0.9687977393939129, 'recall': 0.9697624190064795, 'f1-score': 0.9689682184766463, 'support': 1852.0}} 0.0302 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}} 0.0043 {'~PL': {'precision': 0.9745533297238765, 'recall': 0.9988901220865705, 'f1-score': 0.9865716634694437, 'support': 1802.0}, 'PL': {'precision': 0.6, 'recall': 0.06, 'f1-score': 0.10909090909090909, 'support': 50.0}, 'accuracy': 0.9735421166306696, 'macro avg': {'precision': 0.7872766648619383, 'recall': 0.5294450610432853, 'f1-score': 0.5478312862801764, 'support': 1852.0}, 'weighted avg': {'precision': 0.9644411987918065, 'recall': 0.9735421166306696, 'f1-score': 0.9628815783080361, 'support': 1852.0}} 0.0265 {'~TI': {'precision': 0.9728408473655622, 'recall': 0.9977715877437325, 'f1-score': 0.9851485148514851, 'support': 1795.0}, 'TI': {'precision': 0.6363636363636364, 'recall': 0.12280701754385964, 'f1-score': 0.20588235294117646, 'support': 57.0}, 'accuracy': 0.9708423326133909, 'macro avg': {'precision': 0.8046022418645993, 'recall': 0.5602893026437961, 'f1-score': 0.5955154338963308, 'support': 1852.0}, 'weighted avg': {'precision': 0.9624849072861292, 'recall': 0.9708423326133909, 'f1-score': 0.961164621099386, 'support': 1852.0}} 0.0292 {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}} 0.0140 {'f1-score': 0.6199235085877391, 'hamming': 0.017278617710583154}
No log 12.0 108 0.0670 {'~LIN': {'precision': 0.9908108108108108, 'recall': 0.9989100817438692, 'f1-score': 0.9948439620081411, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9897408207343412, 'macro avg': {'precision': 0.4954054054054054, 'recall': 0.4994550408719346, 'f1-score': 0.49742198100407053, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817158951608196, 'recall': 0.9897408207343412, 'f1-score': 0.9857120249918677, 'support': 1852.0}} 0.0103 {'~SI': {'precision': 0.9830878341516639, 'recall': 0.9933847850055126, 'f1-score': 0.9882094872497944, 'support': 1814.0}, 'SI': {'precision': 0.3684210526315789, 'recall': 0.18421052631578946, 'f1-score': 0.24561403508771928, 'support': 38.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.6757544433916214, 'recall': 0.588797655660651, 'f1-score': 0.6169117611687569, 'support': 1852.0}, 'weighted avg': {'precision': 0.9704758807511438, 'recall': 0.9767818574514039, 'f1-score': 0.9729726475186071, 'support': 1852.0}} 0.0232 {'~CL': {'precision': 0.981437125748503, 'recall': 0.9808497905445841, 'f1-score': 0.9811433702484286, 'support': 1671.0}, 'CL': {'precision': 0.8241758241758241, 'recall': 0.8287292817679558, 'f1-score': 0.8264462809917356, 'support': 181.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.9028064749621636, 'recall': 0.9047895361562699, 'f1-score': 0.9037948256200821, 'support': 1852.0}, 'weighted avg': {'precision': 0.9660676356919938, 'recall': 0.9659827213822895, 'f1-score': 0.9660244862551989, 'support': 1852.0}} 0.0340 {'~D': {'precision': 0.998914223669924, 'recall': 0.998914223669924, 'f1-score': 0.998914223669924, 'support': 1842.0}, 'D': {'precision': 0.8, 'recall': 0.8, 'f1-score': 0.8, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.899457111834962, 'recall': 0.899457111834962, 'f1-score': 0.899457111834962, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978401727861771, 'recall': 0.9978401727861771, 'f1-score': 0.9978401727861771, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}} 0.0043 {'~PL': {'precision': 0.9770240700218819, 'recall': 0.9911209766925638, 'f1-score': 0.9840220385674932, 'support': 1802.0}, 'PL': {'precision': 0.3333333333333333, 'recall': 0.16, 'f1-score': 0.21621621621621623, 'support': 50.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.6551787016776076, 'recall': 0.5755604883462819, 'f1-score': 0.6001191273918547, 'support': 1852.0}, 'weighted avg': {'precision': 0.9596458103920615, 'recall': 0.968682505399568, 'f1-score': 0.9632929396919188, 'support': 1852.0}} 0.0313 {'~TI': {'precision': 0.980225988700565, 'recall': 0.9665738161559888, 'f1-score': 0.9733520336605891, 'support': 1795.0}, 'TI': {'precision': 0.2682926829268293, 'recall': 0.38596491228070173, 'f1-score': 0.31654676258992803, 'support': 57.0}, 'accuracy': 0.9487041036717062, 'macro avg': {'precision': 0.6242593358136972, 'recall': 0.6762693642183453, 'f1-score': 0.6449493981252585, 'support': 1852.0}, 'weighted avg': {'precision': 0.9583144344731875, 'recall': 0.9487041036717062, 'f1-score': 0.9531371846049586, 'support': 1852.0}} 0.0513 {'~PC': {'precision': 0.9868780754510662, 'recall': 0.988499452354874, 'f1-score': 0.987688098495212, 'support': 1826.0}, 'PC': {'precision': 0.08695652173913043, 'recall': 0.07692307692307693, 'f1-score': 0.08163265306122448, 'support': 26.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.5369172985950983, 'recall': 0.5327112646389754, 'f1-score': 0.5346603757782182, 'support': 1852.0}, 'weighted avg': {'precision': 0.9742441875479829, 'recall': 0.9757019438444925, 'f1-score': 0.9749680976413871, 'support': 1852.0}} 0.0243 {'f1-score': 0.649529041230119, 'hamming': 0.02261069114470842}
No log 13.0 117 0.0653 {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}} 0.0097 {'~SI': {'precision': 0.9830508474576272, 'recall': 0.9911797133406836, 'f1-score': 0.987098545155092, 'support': 1814.0}, 'SI': {'precision': 0.30434782608695654, 'recall': 0.18421052631578946, 'f1-score': 0.22950819672131148, 'support': 38.0}, 'accuracy': 0.974622030237581, 'macro avg': {'precision': 0.6436993367722919, 'recall': 0.5876951198282365, 'f1-score': 0.6083033709382017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9691249755288553, 'recall': 0.974622030237581, 'f1-score': 0.971554034766062, 'support': 1852.0}} 0.0254 {'~CL': {'precision': 0.9792038027332145, 'recall': 0.9862357869539198, 'f1-score': 0.9827072152653548, 'support': 1671.0}, 'CL': {'precision': 0.863905325443787, 'recall': 0.8066298342541437, 'f1-score': 0.8342857142857143, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9215545640885008, 'recall': 0.8964328106040318, 'f1-score': 0.9084964647755345, 'support': 1852.0}, 'weighted avg': {'precision': 0.967935431032682, 'recall': 0.968682505399568, 'f1-score': 0.9682016582041696, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9989148128052089, 'recall': 0.999457111834962, 'f1-score': 0.9991858887381275, 'support': 1842.0}, 'D': {'precision': 0.8888888888888888, 'recall': 0.8, 'f1-score': 0.8421052631578947, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9439018508470489, 'recall': 0.899728555917481, 'f1-score': 0.9206455759480111, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983207203434578, 'recall': 0.9983801295896328, 'f1-score': 0.9983377212133963, 'support': 1852.0}} 0.0016 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9795013850415513, 'recall': 0.9811320754716981, 'f1-score': 0.980316052120876, 'support': 1802.0}, 'PL': {'precision': 0.2765957446808511, 'recall': 0.26, 'f1-score': 0.26804123711340205, 'support': 50.0}, 'accuracy': 0.9616630669546437, 'macro avg': {'precision': 0.6280485648612012, 'recall': 0.6205660377358491, 'f1-score': 0.624178644617139, 'support': 1852.0}, 'weighted avg': {'precision': 0.9605244509065431, 'recall': 0.9616630669546437, 'f1-score': 0.9610861705062034, 'support': 1852.0}} 0.0383 {'~TI': {'precision': 0.9752475247524752, 'recall': 0.9877437325905293, 'f1-score': 0.9814558538610573, 'support': 1795.0}, 'TI': {'precision': 0.35294117647058826, 'recall': 0.21052631578947367, 'f1-score': 0.26373626373626374, 'support': 57.0}, 'accuracy': 0.9638228941684666, 'macro avg': {'precision': 0.6640943506115318, 'recall': 0.5991350241900015, 'f1-score': 0.6225960587986605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9560944675969312, 'recall': 0.9638228941684666, 'f1-score': 0.9593662120483611, 'support': 1852.0}} 0.0362 {'~PC': {'precision': 0.9869706840390879, 'recall': 0.9956188389923329, 'f1-score': 0.9912758996728462, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.07692307692307693, 'f1-score': 0.1111111111111111, 'support': 26.0}, 'accuracy': 0.9827213822894169, 'macro avg': {'precision': 0.593485342019544, 'recall': 0.536270957957705, 'f1-score': 0.5511935053919786, 'support': 1852.0}, 'weighted avg': {'precision': 0.975922499489943, 'recall': 0.9827213822894169, 'f1-score': 0.9789193745634482, 'support': 1852.0}} 0.0173 {'f1-score': 0.6540031544662147, 'hamming': 0.020450863930885528}
No log 14.0 126 0.0808 {'~LIN': {'precision': 0.9907908992416035, 'recall': 0.9967302452316076, 'f1-score': 0.9937516979081771, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9875809935205183, 'macro avg': {'precision': 0.49539544962080173, 'recall': 0.4983651226158038, 'f1-score': 0.49687584895408854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816961663651957, 'recall': 0.9875809935205183, 'f1-score': 0.9846297870742468, 'support': 1852.0}} 0.0124 {'~SI': {'precision': 0.9805194805194806, 'recall': 0.9988974641675854, 'f1-score': 0.9896231567449482, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.05263157894736842, 'f1-score': 0.09523809523809523, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7402597402597403, 'recall': 0.5257645215574769, 'f1-score': 0.5424306259915217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9706600095368993, 'recall': 0.9794816414686826, 'f1-score': 0.9712718433878962, 'support': 1852.0}} 0.0205 {'~CL': {'precision': 0.975896531452087, 'recall': 0.9934171154997008, 'f1-score': 0.9845788849347569, 'support': 1671.0}, 'CL': {'precision': 0.9271523178807947, 'recall': 0.7734806629834254, 'f1-score': 0.8433734939759037, 'support': 181.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.9515244246664408, 'recall': 0.8834488892415631, 'f1-score': 0.9139761894553302, 'support': 1852.0}, 'weighted avg': {'precision': 0.9711326531278949, 'recall': 0.9719222462203023, 'f1-score': 0.9707785740473096, 'support': 1852.0}} 0.0281 {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}} 0.0027 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9799442896935933, 'recall': 0.9761376248612652, 'f1-score': 0.9780372532666111, 'support': 1802.0}, 'PL': {'precision': 0.24561403508771928, 'recall': 0.28, 'f1-score': 0.2616822429906542, 'support': 50.0}, 'accuracy': 0.9573434125269978, 'macro avg': {'precision': 0.6127791623906562, 'recall': 0.6280688124306326, 'f1-score': 0.6198597481286326, 'support': 1852.0}, 'weighted avg': {'precision': 0.9601189588457025, 'recall': 0.9573434125269978, 'f1-score': 0.9586972151922062, 'support': 1852.0}} 0.0427 {'~TI': {'precision': 0.9742041712403952, 'recall': 0.9888579387186629, 'f1-score': 0.9814763616256567, 'support': 1795.0}, 'TI': {'precision': 0.3333333333333333, 'recall': 0.17543859649122806, 'f1-score': 0.22988505747126436, 'support': 57.0}, 'accuracy': 0.9638228941684666, 'macro avg': {'precision': 0.6537687522868643, 'recall': 0.5821482676049454, 'f1-score': 0.6056807095484605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9544797448037308, 'recall': 0.9638228941684666, 'f1-score': 0.9583442318541662, 'support': 1852.0}} 0.0362 {'~PC': {'precision': 0.9878987898789879, 'recall': 0.9835706462212487, 'f1-score': 0.9857299670691547, 'support': 1826.0}, 'PC': {'precision': 0.11764705882352941, 'recall': 0.15384615384615385, 'f1-score': 0.13333333333333333, 'support': 26.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.5527729243512587, 'recall': 0.5687084000337013, 'f1-score': 0.5595316502012441, 'support': 1852.0}, 'weighted avg': {'precision': 0.9756814329635225, 'recall': 0.9719222462203023, 'f1-score': 0.973763275666816, 'support': 1852.0}} 0.0281 {'f1-score': 0.638143835663471, 'hamming': 0.021800755939524838}
No log 15.0 135 0.0910 {'~LIN': {'precision': 0.9907908992416035, 'recall': 0.9967302452316076, 'f1-score': 0.9937516979081771, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9875809935205183, 'macro avg': {'precision': 0.49539544962080173, 'recall': 0.4983651226158038, 'f1-score': 0.49687584895408854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816961663651957, 'recall': 0.9875809935205183, 'f1-score': 0.9846297870742468, 'support': 1852.0}} 0.0124 {'~SI': {'precision': 0.9804772234273319, 'recall': 0.9966923925027563, 'f1-score': 0.9885183160196829, 'support': 1814.0}, 'SI': {'precision': 0.25, 'recall': 0.05263157894736842, 'f1-score': 0.08695652173913043, 'support': 38.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.6152386117136659, 'recall': 0.5246619857250624, 'f1-score': 0.5377374188794066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9654890298580886, 'recall': 0.9773218142548596, 'f1-score': 0.9700197478864966, 'support': 1852.0}} 0.0227 {'~CL': {'precision': 0.9730046948356808, 'recall': 0.9922202274087373, 'f1-score': 0.9825185185185186, 'support': 1671.0}, 'CL': {'precision': 0.9121621621621622, 'recall': 0.7458563535911602, 'f1-score': 0.8206686930091185, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9425834284989214, 'recall': 0.8690382904999487, 'f1-score': 0.9015936057638185, 'support': 1852.0}, 'weighted avg': {'precision': 0.9670584213940463, 'recall': 0.9681425485961123, 'f1-score': 0.9667005820081507, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9972914409534128, 'recall': 0.999457111834962, 'f1-score': 0.9983731019522777, 'support': 1842.0}, 'D': {'precision': 0.8333333333333334, 'recall': 0.5, 'f1-score': 0.625, 'support': 10.0}, 'accuracy': 0.9967602591792657, 'macro avg': {'precision': 0.915312387143373, 'recall': 0.749728555917481, 'f1-score': 0.8116865509761388, 'support': 1852.0}, 'weighted avg': {'precision': 0.9964061379965009, 'recall': 0.9967602591792657, 'f1-score': 0.9963570484860127, 'support': 1852.0}} 0.0032 {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}} 0.0043 {'~PL': {'precision': 0.9760739532354541, 'recall': 0.9961154273029966, 'f1-score': 0.9859928591046416, 'support': 1802.0}, 'PL': {'precision': 0.46153846153846156, 'recall': 0.12, 'f1-score': 0.19047619047619047, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7188062073869579, 'recall': 0.5580577136514984, 'f1-score': 0.588234524790416, 'support': 1852.0}, 'weighted avg': {'precision': 0.9621826062673927, 'recall': 0.9724622030237581, 'f1-score': 0.9645156272302234, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9726775956284153, 'recall': 0.9916434540389972, 'f1-score': 0.9820689655172414, 'support': 1795.0}, 'TI': {'precision': 0.3181818181818182, 'recall': 0.12280701754385964, 'f1-score': 0.17721518987341772, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6454297069051167, 'recall': 0.5572252357914285, 'f1-score': 0.5796420776953296, 'support': 1852.0}, 'weighted avg': {'precision': 0.9525338271000913, 'recall': 0.964902807775378, 'f1-score': 0.9572975480163247, 'support': 1852.0}} 0.0351 {'~PC': {'precision': 0.9869848156182213, 'recall': 0.9967141292442497, 'f1-score': 0.9918256130790191, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.07692307692307693, 'f1-score': 0.11764705882352941, 'support': 26.0}, 'accuracy': 0.9838012958963283, 'macro avg': {'precision': 0.6184924078091106, 'recall': 0.5368186030836634, 'f1-score': 0.5547363359512743, 'support': 1852.0}, 'weighted avg': {'precision': 0.9766383765220692, 'recall': 0.9838012958963283, 'f1-score': 0.9795531279760802, 'support': 1852.0}} 0.0162 {'f1-score': 0.6211780139910277, 'hamming': 0.019168466522678184}
No log 16.0 144 0.0938 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815317762085823, 'recall': 0.996141124586549, 'f1-score': 0.9887824897400821, 'support': 1814.0}, 'SI': {'precision': 0.36363636363636365, 'recall': 0.10526315789473684, 'f1-score': 0.16326530612244897, 'support': 38.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.672584069922473, 'recall': 0.550702141240643, 'f1-score': 0.5760238979312655, 'support': 1852.0}, 'weighted avg': {'precision': 0.9688535765985692, 'recall': 0.9778617710583153, 'f1-score': 0.971844232192852, 'support': 1852.0}} 0.0221 {'~CL': {'precision': 0.9763733018310691, 'recall': 0.9892280071813285, 'f1-score': 0.9827586206896551, 'support': 1671.0}, 'CL': {'precision': 0.8867924528301887, 'recall': 0.7790055248618785, 'f1-score': 0.8294117647058824, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.931582877330629, 'recall': 0.8841167660216035, 'f1-score': 0.9060851926977688, 'support': 1852.0}, 'weighted avg': {'precision': 0.967618370044266, 'recall': 0.968682505399568, 'f1-score': 0.9677716979396213, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9983739837398374, 'recall': 1.0, 'f1-score': 0.9991863303498779, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.7, 'f1-score': 0.8235294117647058, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9991869918699188, 'recall': 0.85, 'f1-score': 0.9113578710572918, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983827635252595, 'recall': 0.9983801295896328, 'f1-score': 0.9982378588672367, 'support': 1852.0}} 0.0016 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9759694156198798, 'recall': 0.9916759156492786, 'f1-score': 0.9837599779796311, 'support': 1802.0}, 'PL': {'precision': 0.2857142857142857, 'recall': 0.12, 'f1-score': 0.16901408450704225, 'support': 50.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.6308418506670828, 'recall': 0.5558379578246393, 'f1-score': 0.5763870312433367, 'support': 1852.0}, 'weighted avg': {'precision': 0.9573340179442428, 'recall': 0.9681425485961123, 'f1-score': 0.9617635985662243, 'support': 1852.0}} 0.0319 {'~TI': {'precision': 0.9752747252747253, 'recall': 0.9888579387186629, 'f1-score': 0.9820193637621023, 'support': 1795.0}, 'TI': {'precision': 0.375, 'recall': 0.21052631578947367, 'f1-score': 0.2696629213483146, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6751373626373627, 'recall': 0.5996921272540683, 'f1-score': 0.6258411425552084, 'support': 1852.0}, 'weighted avg': {'precision': 0.9567997472290128, 'recall': 0.964902807775378, 'f1-score': 0.9600947864307925, 'support': 1852.0}} 0.0351 {'~PC': {'precision': 0.9869565217391304, 'recall': 0.9945235487404163, 'f1-score': 0.9907255864702673, 'support': 1826.0}, 'PC': {'precision': 0.16666666666666666, 'recall': 0.07692307692307693, 'f1-score': 0.10526315789473684, 'support': 26.0}, 'accuracy': 0.9816414686825053, 'macro avg': {'precision': 0.5768115942028985, 'recall': 0.5357233128317466, 'f1-score': 0.547994372182502, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754405734497761, 'recall': 0.9816414686825053, 'f1-score': 0.9782946884449089, 'support': 1852.0}} 0.0184 {'f1-score': 0.6424864821724361, 'hamming': 0.019438444924406047}
No log 17.0 153 0.1006 {'~LIN': {'precision': 0.9908108108108108, 'recall': 0.9989100817438692, 'f1-score': 0.9948439620081411, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9897408207343412, 'macro avg': {'precision': 0.4954054054054054, 'recall': 0.4994550408719346, 'f1-score': 0.49742198100407053, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817158951608196, 'recall': 0.9897408207343412, 'f1-score': 0.9857120249918677, 'support': 1852.0}} 0.0103 {'~SI': {'precision': 0.9814915623298857, 'recall': 0.9939360529217199, 'f1-score': 0.9876746096959738, 'support': 1814.0}, 'SI': {'precision': 0.26666666666666666, 'recall': 0.10526315789473684, 'f1-score': 0.1509433962264151, 'support': 38.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.6240791144982761, 'recall': 0.5495996054082284, 'f1-score': 0.5693090029611945, 'support': 1852.0}, 'weighted avg': {'precision': 0.9668245288335562, 'recall': 0.9757019438444925, 'f1-score': 0.970506258663661, 'support': 1852.0}} 0.0243 {'~CL': {'precision': 0.9758254716981132, 'recall': 0.990424895272292, 'f1-score': 0.9830709830709831, 'support': 1671.0}, 'CL': {'precision': 0.8974358974358975, 'recall': 0.7734806629834254, 'f1-score': 0.8308605341246291, 'support': 181.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.9366306845670054, 'recall': 0.8819527791278587, 'f1-score': 0.9069657585978061, 'support': 1852.0}, 'weighted avg': {'precision': 0.9681642876044517, 'recall': 0.9692224622030238, 'f1-score': 0.9681951238597032, 'support': 1852.0}} 0.0308 {'~D': {'precision': 0.9983739837398374, 'recall': 1.0, 'f1-score': 0.9991863303498779, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.7, 'f1-score': 0.8235294117647058, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9991869918699188, 'recall': 0.85, 'f1-score': 0.9113578710572918, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983827635252595, 'recall': 0.9983801295896328, 'f1-score': 0.9982378588672367, 'support': 1852.0}} 0.0016 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776200873362445, 'recall': 0.9938956714761377, 'f1-score': 0.9856906989543203, 'support': 1802.0}, 'PL': {'precision': 0.45, 'recall': 0.18, 'f1-score': 0.2571428571428571, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.7138100436681223, 'recall': 0.5869478357380689, 'f1-score': 0.6214167780485886, 'support': 1852.0}, 'weighted avg': {'precision': 0.9633754845463891, 'recall': 0.9719222462203023, 'f1-score': 0.9660214807628661, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9757975797579758, 'recall': 0.9883008356545961, 'f1-score': 0.9820094104622198, 'support': 1795.0}, 'TI': {'precision': 0.38235294117647056, 'recall': 0.22807017543859648, 'f1-score': 0.2857142857142857, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6790752604672232, 'recall': 0.6081855055465963, 'f1-score': 0.6338618480882527, 'support': 1852.0}, 'weighted avg': {'precision': 0.9575328149636205, 'recall': 0.964902807775378, 'f1-score': 0.96057916094244, 'support': 1852.0}} 0.0351 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6459621080084804, 'hamming': 0.018696004319654427}
No log 18.0 162 0.1033 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9825232113599126, 'recall': 0.9917309812568909, 'f1-score': 0.9871056241426612, 'support': 1814.0}, 'SI': {'precision': 0.2857142857142857, 'recall': 0.15789473684210525, 'f1-score': 0.2033898305084746, 'support': 38.0}, 'accuracy': 0.974622030237581, 'macro avg': {'precision': 0.6341187485370992, 'recall': 0.5748128590494981, 'f1-score': 0.5952477273255679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9682258359956935, 'recall': 0.974622030237581, 'f1-score': 0.971025062502219, 'support': 1852.0}} 0.0254 {'~CL': {'precision': 0.9775546367395157, 'recall': 0.990424895272292, 'f1-score': 0.9839476813317479, 'support': 1671.0}, 'CL': {'precision': 0.89937106918239, 'recall': 0.7900552486187845, 'f1-score': 0.8411764705882353, 'support': 181.0}, 'accuracy': 0.9708423326133909, 'macro avg': {'precision': 0.9384628529609529, 'recall': 0.8902400719455383, 'f1-score': 0.9125620759599916, 'support': 1852.0}, 'weighted avg': {'precision': 0.969913586130531, 'recall': 0.9708423326133909, 'f1-score': 0.9699943394610266, 'support': 1852.0}} 0.0292 {'~D': {'precision': 0.9983739837398374, 'recall': 1.0, 'f1-score': 0.9991863303498779, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.7, 'f1-score': 0.8235294117647058, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9991869918699188, 'recall': 0.85, 'f1-score': 0.9113578710572918, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983827635252595, 'recall': 0.9983801295896328, 'f1-score': 0.9982378588672367, 'support': 1852.0}} 0.0016 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9791666666666666, 'recall': 0.9911209766925638, 'f1-score': 0.9851075565361279, 'support': 1802.0}, 'PL': {'precision': 0.42857142857142855, 'recall': 0.24, 'f1-score': 0.3076923076923077, 'support': 50.0}, 'accuracy': 0.9708423326133909, 'macro avg': {'precision': 0.7038690476190476, 'recall': 0.615560488346282, 'f1-score': 0.6463999321142178, 'support': 1852.0}, 'weighted avg': {'precision': 0.9643017844286742, 'recall': 0.9708423326133909, 'f1-score': 0.9668188079172344, 'support': 1852.0}} 0.0292 {'~TI': {'precision': 0.9763346175013758, 'recall': 0.9883008356545961, 'f1-score': 0.982281284606866, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.24561403508771928, 'f1-score': 0.30434782608695654, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6881673087506879, 'recall': 0.6169574353711578, 'f1-score': 0.6433145553469113, 'support': 1852.0}, 'weighted avg': {'precision': 0.9585964570275214, 'recall': 0.9654427645788337, 'f1-score': 0.9614161619634346, 'support': 1852.0}} 0.0346 {'~PC': {'precision': 0.9864937871420854, 'recall': 1.0, 'f1-score': 0.9932009790590155, 'support': 1826.0}, 'PC': {'precision': 1.0, 'recall': 0.038461538461538464, 'f1-score': 0.07407407407407407, 'support': 26.0}, 'accuracy': 0.9865010799136069, 'macro avg': {'precision': 0.9932468935710427, 'recall': 0.5192307692307693, 'f1-score': 0.5336375265665447, 'support': 1852.0}, 'weighted avg': {'precision': 0.9866833992016456, 'recall': 0.9865010799136069, 'f1-score': 0.980297469593784, 'support': 1852.0}} 0.0135 {'f1-score': 0.65484025476033, 'hamming': 0.0185610151187905}
No log 19.0 171 0.1100 {'~LIN': {'precision': 0.9908108108108108, 'recall': 0.9989100817438692, 'f1-score': 0.9948439620081411, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9897408207343412, 'macro avg': {'precision': 0.4954054054054054, 'recall': 0.4994550408719346, 'f1-score': 0.49742198100407053, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817158951608196, 'recall': 0.9897408207343412, 'f1-score': 0.9857120249918677, 'support': 1852.0}} 0.0103 {'~SI': {'precision': 0.9815217391304348, 'recall': 0.9955898566703418, 'f1-score': 0.9885057471264368, 'support': 1814.0}, 'SI': {'precision': 0.3333333333333333, 'recall': 0.10526315789473684, 'f1-score': 0.16, 'support': 38.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.6574275362318841, 'recall': 0.5504265072825394, 'f1-score': 0.5742528735632184, 'support': 1852.0}, 'weighted avg': {'precision': 0.9682219770244469, 'recall': 0.9773218142548596, 'f1-score': 0.9715061691616395, 'support': 1852.0}} 0.0227 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}} 0.0043 {'~PL': {'precision': 0.9776200873362445, 'recall': 0.9938956714761377, 'f1-score': 0.9856906989543203, 'support': 1802.0}, 'PL': {'precision': 0.45, 'recall': 0.18, 'f1-score': 0.2571428571428571, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.7138100436681223, 'recall': 0.5869478357380689, 'f1-score': 0.6214167780485886, 'support': 1852.0}, 'weighted avg': {'precision': 0.9633754845463891, 'recall': 0.9719222462203023, 'f1-score': 0.9660214807628661, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9763215859030837, 'recall': 0.9877437325905293, 'f1-score': 0.9819994461368042, 'support': 1795.0}, 'TI': {'precision': 0.3888888888888889, 'recall': 0.24561403508771928, 'f1-score': 0.3010752688172043, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6826052373959863, 'recall': 0.6166788838391243, 'f1-score': 0.6415373574770042, 'support': 1852.0}, 'weighted avg': {'precision': 0.9582418538675497, 'recall': 0.964902807775378, 'f1-score': 0.9610422765324753, 'support': 1852.0}} 0.0351 {'~PC': {'precision': 0.9869423286180631, 'recall': 0.9934282584884995, 'f1-score': 0.990174672489083, 'support': 1826.0}, 'PC': {'precision': 0.14285714285714285, 'recall': 0.07692307692307693, 'f1-score': 0.1, 'support': 26.0}, 'accuracy': 0.980561555075594, 'macro avg': {'precision': 0.564899735737603, 'recall': 0.5351756677057882, 'f1-score': 0.5450873362445415, 'support': 1852.0}, 'weighted avg': {'precision': 0.9750923206106203, 'recall': 0.980561555075594, 'f1-score': 0.9776776198515472, 'support': 1852.0}} 0.0194 {'f1-score': 0.6447714750987492, 'hamming': 0.019168466522678188}
No log 20.0 180 0.1172 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815317762085823, 'recall': 0.996141124586549, 'f1-score': 0.9887824897400821, 'support': 1814.0}, 'SI': {'precision': 0.36363636363636365, 'recall': 0.10526315789473684, 'f1-score': 0.16326530612244897, 'support': 38.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.672584069922473, 'recall': 0.550702141240643, 'f1-score': 0.5760238979312655, 'support': 1852.0}, 'weighted avg': {'precision': 0.9688535765985692, 'recall': 0.9778617710583153, 'f1-score': 0.971844232192852, 'support': 1852.0}} 0.0221 {'~CL': {'precision': 0.974102413184226, 'recall': 0.990424895272292, 'f1-score': 0.9821958456973294, 'support': 1671.0}, 'CL': {'precision': 0.8954248366013072, 'recall': 0.7569060773480663, 'f1-score': 0.8203592814371258, 'support': 181.0}, 'accuracy': 0.9676025917926566, 'macro avg': {'precision': 0.9347636248927667, 'recall': 0.8736654863101792, 'f1-score': 0.9012775635672277, 'support': 1852.0}, 'weighted avg': {'precision': 0.9664130819955066, 'recall': 0.9676025917926566, 'f1-score': 0.966379205237774, 'support': 1852.0}} 0.0324 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771241830065359, 'recall': 0.9955604883462819, 'f1-score': 0.9862561847168774, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.16, 'f1-score': 0.24242424242424243, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.738562091503268, 'recall': 0.5777802441731409, 'f1-score': 0.6143402135705599, 'support': 1852.0}, 'weighted avg': {'precision': 0.9642428605711544, 'recall': 0.9730021598272138, 'f1-score': 0.9661743288234477, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742465753424657, 'recall': 0.9905292479108635, 'f1-score': 0.9823204419889503, 'support': 1795.0}, 'TI': {'precision': 0.37037037037037035, 'recall': 0.17543859649122806, 'f1-score': 0.23809523809523808, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.672308472856418, 'recall': 0.5829839222010458, 'f1-score': 0.6102078400420942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9556607526192424, 'recall': 0.9654427645788337, 'f1-score': 0.9594150226466494, 'support': 1852.0}} 0.0346 {'~PC': {'precision': 0.9864864864864865, 'recall': 0.9994523548740416, 'f1-score': 0.9929270946681176, 'support': 1826.0}, 'PC': {'precision': 0.5, 'recall': 0.038461538461538464, 'f1-score': 0.07142857142857142, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.7432432432432432, 'recall': 0.51895694666779, 'f1-score': 0.5321778330483445, 'support': 1852.0}, 'weighted avg': {'precision': 0.9796567625941276, 'recall': 0.9859611231101512, 'f1-score': 0.97999029034618, 'support': 1852.0}} 0.0140 {'f1-score': 0.6381029868041916, 'hamming': 0.0183585313174946}
No log 21.0 189 0.1149 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9769775678866588, 'recall': 0.990424895272292, 'f1-score': 0.9836552748885586, 'support': 1671.0}, 'CL': {'precision': 0.8987341772151899, 'recall': 0.7845303867403315, 'f1-score': 0.8377581120943953, 'support': 181.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9378558725509243, 'recall': 0.8874776410063118, 'f1-score': 0.9107066934914769, 'support': 1852.0}, 'weighted avg': {'precision': 0.9693306706342096, 'recall': 0.9703023758099352, 'f1-score': 0.9693964269048958, 'support': 1852.0}} 0.0297 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9786301369863014, 'recall': 0.9911209766925638, 'f1-score': 0.984835952577888, 'support': 1802.0}, 'PL': {'precision': 0.4074074074074074, 'recall': 0.22, 'f1-score': 0.2857142857142857, 'support': 50.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.6930187721968544, 'recall': 0.605560488346282, 'f1-score': 0.6352751191460868, 'support': 1852.0}, 'weighted avg': {'precision': 0.9632083570300678, 'recall': 0.9703023758099352, 'f1-score': 0.9659611775545727, 'support': 1852.0}} 0.0297 {'~TI': {'precision': 0.9747530186608123, 'recall': 0.9894150417827298, 'f1-score': 0.9820293060547415, 'support': 1795.0}, 'TI': {'precision': 0.36666666666666664, 'recall': 0.19298245614035087, 'f1-score': 0.25287356321839083, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6707098426637395, 'recall': 0.5911987489615403, 'f1-score': 0.6174514346365662, 'support': 1852.0}, 'weighted avg': {'precision': 0.9560376179784872, 'recall': 0.964902807775378, 'f1-score': 0.9595876876197135, 'support': 1852.0}} 0.0351 {'~PC': {'precision': 0.9864718614718615, 'recall': 0.9983570646221248, 'f1-score': 0.9923788786064235, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.038461538461538464, 'f1-score': 0.06666666666666667, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6182359307359307, 'recall': 0.5184093015418316, 'f1-score': 0.5295227726365451, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761326236758202, 'recall': 0.9848812095032398, 'f1-score': 0.9793829188275717, 'support': 1852.0}} 0.0151 {'f1-score': 0.6426848680110354, 'hamming': 0.018561015118790495}
No log 22.0 198 0.1206 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9810195227765727, 'recall': 0.9972436604189636, 'f1-score': 0.9890650628758885, 'support': 1814.0}, 'SI': {'precision': 0.375, 'recall': 0.07894736842105263, 'f1-score': 0.13043478260869565, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6780097613882863, 'recall': 0.5380955144200081, 'f1-score': 0.5597499227422921, 'support': 1852.0}, 'weighted avg': {'precision': 0.9685849969312651, 'recall': 0.978401727861771, 'f1-score': 0.9714473789395207, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.974676089517079, 'recall': 0.990424895272292, 'f1-score': 0.9824873849807064, 'support': 1671.0}, 'CL': {'precision': 0.8961038961038961, 'recall': 0.7624309392265194, 'f1-score': 0.8238805970149253, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9353899928104875, 'recall': 0.8764279172494057, 'f1-score': 0.9031839909978159, 'support': 1852.0}, 'weighted avg': {'precision': 0.9669970576554234, 'recall': 0.9681425485961123, 'f1-score': 0.9669863976039211, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9770992366412213, 'recall': 0.9944506104328524, 'f1-score': 0.9856985698569857, 'support': 1802.0}, 'PL': {'precision': 0.4444444444444444, 'recall': 0.16, 'f1-score': 0.23529411764705882, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.7107718405428329, 'recall': 0.5772253052164262, 'f1-score': 0.6104963437520222, 'support': 1852.0}, 'weighted avg': {'precision': 0.9627187076942241, 'recall': 0.9719222462203023, 'f1-score': 0.9654392703912749, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6357241322425722, 'hamming': 0.018493520518358533}
No log 23.0 207 0.1193 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9770992366412213, 'recall': 0.9944506104328524, 'f1-score': 0.9856985698569857, 'support': 1802.0}, 'PL': {'precision': 0.4444444444444444, 'recall': 0.16, 'f1-score': 0.23529411764705882, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.7107718405428329, 'recall': 0.5772253052164262, 'f1-score': 0.6104963437520222, 'support': 1852.0}, 'weighted avg': {'precision': 0.9627187076942241, 'recall': 0.9719222462203023, 'f1-score': 0.9654392703912749, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9742183214481623, 'recall': 0.9894150417827298, 'f1-score': 0.9817578772802653, 'support': 1795.0}, 'TI': {'precision': 0.3448275862068966, 'recall': 0.17543859649122806, 'f1-score': 0.23255813953488372, 'support': 57.0}, 'accuracy': 0.9643628509719222, 'macro avg': {'precision': 0.6595229538275295, 'recall': 0.5824268191369789, 'f1-score': 0.6071580084075745, 'support': 1852.0}, 'weighted avg': {'precision': 0.9548472243052076, 'recall': 0.9643628509719222, 'f1-score': 0.9586993540343222, 'support': 1852.0}} 0.0356 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6374459548854294, 'hamming': 0.018696004319654427}
No log 24.0 216 0.1222 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.974676089517079, 'recall': 0.990424895272292, 'f1-score': 0.9824873849807064, 'support': 1671.0}, 'CL': {'precision': 0.8961038961038961, 'recall': 0.7624309392265194, 'f1-score': 0.8238805970149253, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9353899928104875, 'recall': 0.8764279172494057, 'f1-score': 0.9031839909978159, 'support': 1852.0}, 'weighted avg': {'precision': 0.9669970576554234, 'recall': 0.9681425485961123, 'f1-score': 0.9669863976039211, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9765795206971678, 'recall': 0.9950055493895672, 'f1-score': 0.9857064321055525, 'support': 1802.0}, 'PL': {'precision': 0.4375, 'recall': 0.14, 'f1-score': 0.21212121212121213, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.7070397603485838, 'recall': 0.5675027746947836, 'f1-score': 0.5989138221133823, 'support': 1852.0}, 'weighted avg': {'precision': 0.9620255379569634, 'recall': 0.9719222462203023, 'f1-score': 0.9648213019763856, 'support': 1852.0}} 0.0281 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6367632404283543, 'hamming': 0.0183585313174946}
No log 25.0 225 0.1218 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742606790799562, 'recall': 0.9910863509749304, 'f1-score': 0.9826014913007457, 'support': 1795.0}, 'TI': {'precision': 0.38461538461538464, 'recall': 0.17543859649122806, 'f1-score': 0.24096385542168675, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6794380318476704, 'recall': 0.5832624737330792, 'f1-score': 0.6117826733612162, 'support': 1852.0}, 'weighted avg': {'precision': 0.9561128487427636, 'recall': 0.9659827213822895, 'f1-score': 0.9597757109308178, 'support': 1852.0}} 0.0340 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6384998677444805, 'hamming': 0.0183585313174946}
No log 26.0 234 0.1234 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6387181470911498, 'hamming': 0.01822354211663067}
No log 27.0 243 0.1235 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9752650176678446, 'recall': 0.9910233393177738, 'f1-score': 0.9830810329474622, 'support': 1671.0}, 'CL': {'precision': 0.9025974025974026, 'recall': 0.7679558011049724, 'f1-score': 0.8298507462686567, 'support': 181.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.9389312101326236, 'recall': 0.8794895702113731, 'f1-score': 0.9064658896080595, 'support': 1852.0}, 'weighted avg': {'precision': 0.9681630531280228, 'recall': 0.9692224622030238, 'f1-score': 0.9681055027698899, 'support': 1852.0}} 0.0308 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.640510010887792, 'hamming': 0.018156047516198703}
No log 28.0 252 0.1246 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.638654182911682, 'hamming': 0.01822354211663067}
No log 29.0 261 0.1245 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9752650176678446, 'recall': 0.9910233393177738, 'f1-score': 0.9830810329474622, 'support': 1671.0}, 'CL': {'precision': 0.9025974025974026, 'recall': 0.7679558011049724, 'f1-score': 0.8298507462686567, 'support': 181.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.9389312101326236, 'recall': 0.8794895702113731, 'f1-score': 0.9064658896080595, 'support': 1852.0}, 'weighted avg': {'precision': 0.9681630531280228, 'recall': 0.9692224622030238, 'f1-score': 0.9681055027698899, 'support': 1852.0}} 0.0308 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6388913801816494, 'hamming': 0.018156047516198703}
No log 30.0 270 0.1240 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9758397171479081, 'recall': 0.9910233393177738, 'f1-score': 0.9833729216152018, 'support': 1671.0}, 'CL': {'precision': 0.9032258064516129, 'recall': 0.7734806629834254, 'f1-score': 0.8333333333333334, 'support': 181.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.9395327617997604, 'recall': 0.8822520011505997, 'f1-score': 0.9083531274742676, 'support': 1852.0}, 'weighted avg': {'precision': 0.9687430012537237, 'recall': 0.9697624190064795, 'f1-score': 0.968709225352233, 'support': 1852.0}} 0.0302 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6405070069181452, 'hamming': 0.018156047516198703}
No log 31.0 279 0.1253 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864718614718615, 'recall': 0.9983570646221248, 'f1-score': 0.9923788786064235, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.038461538461538464, 'f1-score': 0.06666666666666667, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6182359307359307, 'recall': 0.5184093015418316, 'f1-score': 0.5295227726365451, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761326236758202, 'recall': 0.9848812095032398, 'f1-score': 0.9793829188275717, 'support': 1852.0}} 0.0151 {'f1-score': 0.6387886752695833, 'hamming': 0.01822354211663067}
No log 32.0 288 0.1260 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6402728136178246, 'hamming': 0.01822354211663067}
No log 33.0 297 0.1261 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6402898756067203, 'hamming': 0.018156047516198703}
No log 34.0 306 0.1268 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9741176470588235, 'recall': 0.9910233393177738, 'f1-score': 0.9824977751409077, 'support': 1671.0}, 'CL': {'precision': 0.9013157894736842, 'recall': 0.7569060773480663, 'f1-score': 0.8228228228228228, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9377167182662538, 'recall': 0.8739647083329201, 'f1-score': 0.9026602989818653, 'support': 1852.0}, 'weighted avg': {'precision': 0.9670025627052004, 'recall': 0.9681425485961123, 'f1-score': 0.9668923937318509, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400513740484135, 'hamming': 0.01822354211663067}
No log 35.0 315 0.1274 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9752650176678446, 'recall': 0.9910233393177738, 'f1-score': 0.9830810329474622, 'support': 1671.0}, 'CL': {'precision': 0.9025974025974026, 'recall': 0.7679558011049724, 'f1-score': 0.8298507462686567, 'support': 181.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.9389312101326236, 'recall': 0.8794895702113731, 'f1-score': 0.9064658896080595, 'support': 1852.0}, 'weighted avg': {'precision': 0.9681630531280228, 'recall': 0.9692224622030238, 'f1-score': 0.9681055027698899, 'support': 1852.0}} 0.0308 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9743169398907103, 'recall': 0.9933147632311977, 'f1-score': 0.9837241379310345, 'support': 1795.0}, 'TI': {'precision': 0.45454545454545453, 'recall': 0.17543859649122806, 'f1-score': 0.25316455696202533, 'support': 57.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.7144311972180825, 'recall': 0.5843766798612129, 'f1-score': 0.61844434744653, 'support': 1852.0}, 'weighted avg': {'precision': 0.9583196533547063, 'recall': 0.9681425485961123, 'f1-score': 0.9612393128148177, 'support': 1852.0}} 0.0319 {'~PC': {'precision': 0.9864791779340184, 'recall': 0.9989047097480832, 'f1-score': 0.9926530612244898, 'support': 1826.0}, 'PC': {'precision': 0.3333333333333333, 'recall': 0.038461538461538464, 'f1-score': 0.06896551724137931, 'support': 26.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.6599062556336759, 'recall': 0.5186831241048109, 'f1-score': 0.5308092892329346, 'support': 1852.0}, 'weighted avg': {'precision': 0.9773097438305531, 'recall': 0.9854211663066955, 'f1-score': 0.9796855255098241, 'support': 1852.0}} 0.0146 {'f1-score': 0.6398352410058861, 'hamming': 0.017818574514038878}
No log 36.0 324 0.1259 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.977632296781233, 'recall': 0.9944506104328524, 'f1-score': 0.9859697386519944, 'support': 1802.0}, 'PL': {'precision': 0.47368421052631576, 'recall': 0.18, 'f1-score': 0.2608695652173913, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7256582536537743, 'recall': 0.5872253052164262, 'f1-score': 0.6234196519346928, 'support': 1852.0}, 'weighted avg': {'precision': 0.9640267868931413, 'recall': 0.9724622030237581, 'f1-score': 0.9663936000603474, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742465753424657, 'recall': 0.9905292479108635, 'f1-score': 0.9823204419889503, 'support': 1795.0}, 'TI': {'precision': 0.37037037037037035, 'recall': 0.17543859649122806, 'f1-score': 0.23809523809523808, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.672308472856418, 'recall': 0.5829839222010458, 'f1-score': 0.6102078400420942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9556607526192424, 'recall': 0.9654427645788337, 'f1-score': 0.9594150226466494, 'support': 1852.0}} 0.0346 {'~PC': {'precision': 0.9864718614718615, 'recall': 0.9983570646221248, 'f1-score': 0.9923788786064235, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.038461538461538464, 'f1-score': 0.06666666666666667, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6182359307359307, 'recall': 0.5184093015418316, 'f1-score': 0.5295227726365451, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761326236758202, 'recall': 0.9848812095032398, 'f1-score': 0.9793829188275717, 'support': 1852.0}} 0.0151 {'f1-score': 0.6395941517093754, 'hamming': 0.018426025917926567}
No log 37.0 333 0.1259 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9752504419563937, 'recall': 0.990424895272292, 'f1-score': 0.9827790973871734, 'support': 1671.0}, 'CL': {'precision': 0.896774193548387, 'recall': 0.7679558011049724, 'f1-score': 0.8273809523809523, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9360123177523904, 'recall': 0.8791903481886323, 'f1-score': 0.9050800248840629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675807870093908, 'recall': 0.968682505399568, 'f1-score': 0.9675916976862413, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.977632296781233, 'recall': 0.9944506104328524, 'f1-score': 0.9859697386519944, 'support': 1802.0}, 'PL': {'precision': 0.47368421052631576, 'recall': 0.18, 'f1-score': 0.2608695652173913, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7256582536537743, 'recall': 0.5872253052164262, 'f1-score': 0.6234196519346928, 'support': 1852.0}, 'weighted avg': {'precision': 0.9640267868931413, 'recall': 0.9724622030237581, 'f1-score': 0.9663936000603474, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742465753424657, 'recall': 0.9905292479108635, 'f1-score': 0.9823204419889503, 'support': 1795.0}, 'TI': {'precision': 0.37037037037037035, 'recall': 0.17543859649122806, 'f1-score': 0.23809523809523808, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.672308472856418, 'recall': 0.5829839222010458, 'f1-score': 0.6102078400420942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9556607526192424, 'recall': 0.9654427645788337, 'f1-score': 0.9594150226466494, 'support': 1852.0}} 0.0346 {'~PC': {'precision': 0.9869989165763814, 'recall': 0.9978094194961665, 'f1-score': 0.9923747276688453, 'support': 1826.0}, 'PC': {'precision': 0.3333333333333333, 'recall': 0.07692307692307693, 'f1-score': 0.125, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6601661249548574, 'recall': 0.5373662482096218, 'f1-score': 0.5586873638344226, 'support': 1852.0}, 'weighted avg': {'precision': 0.9778221859261012, 'recall': 0.9848812095032398, 'f1-score': 0.9801977606497362, 'support': 1852.0}} 0.0151 {'f1-score': 0.6432397256091101, 'hamming': 0.018426025917926567}
No log 38.0 342 0.1271 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400339049149018, 'hamming': 0.018291036717062635}
No log 39.0 351 0.1284 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6388428634404473, 'hamming': 0.01822354211663067}
No log 40.0 360 0.1285 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9741176470588235, 'recall': 0.9910233393177738, 'f1-score': 0.9824977751409077, 'support': 1671.0}, 'CL': {'precision': 0.9013157894736842, 'recall': 0.7569060773480663, 'f1-score': 0.8228228228228228, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9377167182662538, 'recall': 0.8739647083329201, 'f1-score': 0.9026602989818653, 'support': 1852.0}, 'weighted avg': {'precision': 0.9670025627052004, 'recall': 0.9681425485961123, 'f1-score': 0.9668923937318509, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9771117166212534, 'recall': 0.9950055493895672, 'f1-score': 0.9859774539455596, 'support': 1802.0}, 'PL': {'precision': 0.47058823529411764, 'recall': 0.16, 'f1-score': 0.23880597014925373, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.7238499759576855, 'recall': 0.5775027746947836, 'f1-score': 0.6123917120474066, 'support': 1852.0}, 'weighted avg': {'precision': 0.9634366766286202, 'recall': 0.9724622030237581, 'f1-score': 0.9658054376443636, 'support': 1852.0}} 0.0275 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6386214238710363, 'hamming': 0.01822354211663067}
No log 41.0 369 0.1282 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400339049149018, 'hamming': 0.018291036717062635}
No log 42.0 378 0.1282 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742606790799562, 'recall': 0.9910863509749304, 'f1-score': 0.9826014913007457, 'support': 1795.0}, 'TI': {'precision': 0.38461538461538464, 'recall': 0.17543859649122806, 'f1-score': 0.24096385542168675, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6794380318476704, 'recall': 0.5832624737330792, 'f1-score': 0.6117826733612162, 'support': 1852.0}, 'weighted avg': {'precision': 0.9561128487427636, 'recall': 0.9659827213822895, 'f1-score': 0.9597757109308178, 'support': 1852.0}} 0.0340 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.640071596260051, 'hamming': 0.018291036717062635}
No log 43.0 387 0.1284 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400339049149018, 'hamming': 0.018291036717062635}
No log 44.0 396 0.1288 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6402396474325629, 'hamming': 0.01822354211663067}
No log 45.0 405 0.1291 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9741176470588235, 'recall': 0.9910233393177738, 'f1-score': 0.9824977751409077, 'support': 1671.0}, 'CL': {'precision': 0.9013157894736842, 'recall': 0.7569060773480663, 'f1-score': 0.8228228228228228, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9377167182662538, 'recall': 0.8739647083329201, 'f1-score': 0.9026602989818653, 'support': 1852.0}, 'weighted avg': {'precision': 0.9670025627052004, 'recall': 0.9681425485961123, 'f1-score': 0.9668923937318509, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400182078631519, 'hamming': 0.01822354211663067}
No log 46.0 414 0.1292 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864718614718615, 'recall': 0.9983570646221248, 'f1-score': 0.9923788786064235, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.038461538461538464, 'f1-score': 0.06666666666666667, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6182359307359307, 'recall': 0.5184093015418316, 'f1-score': 0.5295227726365451, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761326236758202, 'recall': 0.9848812095032398, 'f1-score': 0.9793829188275717, 'support': 1852.0}} 0.0151 {'f1-score': 0.6404414299535175, 'hamming': 0.018088552915766738}
No log 47.0 423 0.1291 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6400509669037975, 'hamming': 0.01822354211663067}
No log 48.0 432 0.1292 {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}} 0.0108 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6402567094214586, 'hamming': 0.018156047516198703}
No log 49.0 441 0.1290 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815418023887079, 'recall': 0.9966923925027563, 'f1-score': 0.9890590809628009, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.10526315789473684, 'f1-score': 0.16666666666666666, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.6907709011943539, 'recall': 0.5509777751987466, 'f1-score': 0.5778628738147338, 'support': 1852.0}, 'weighted avg': {'precision': 0.9696095191863479, 'recall': 0.978401727861771, 'f1-score': 0.972184938552837, 'support': 1852.0}} 0.0216 {'~CL': {'precision': 0.9741176470588235, 'recall': 0.9910233393177738, 'f1-score': 0.9824977751409077, 'support': 1671.0}, 'CL': {'precision': 0.9013157894736842, 'recall': 0.7569060773480663, 'f1-score': 0.8228228228228228, 'support': 181.0}, 'accuracy': 0.9681425485961123, 'macro avg': {'precision': 0.9377167182662538, 'recall': 0.8739647083329201, 'f1-score': 0.9026602989818653, 'support': 1852.0}, 'weighted avg': {'precision': 0.9670025627052004, 'recall': 0.9681425485961123, 'f1-score': 0.9668923937318509, 'support': 1852.0}} 0.0319 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742747673782156, 'recall': 0.9916434540389972, 'f1-score': 0.9828823854224186, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.17543859649122806, 'f1-score': 0.24390243902439024, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6871373836891078, 'recall': 0.5835410252651126, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9566000040193828, 'recall': 0.9665226781857451, 'f1-score': 0.9601384021909458, 'support': 1852.0}} 0.0335 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6397954033565949, 'hamming': 0.0183585313174946}
No log 50.0 450 0.1291 {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}} 0.0113 {'~SI': {'precision': 0.9815518176885513, 'recall': 0.9972436604189636, 'f1-score': 0.9893355209187858, 'support': 1814.0}, 'SI': {'precision': 0.4444444444444444, 'recall': 0.10526315789473684, 'f1-score': 0.1702127659574468, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7129981310664979, 'recall': 0.5512534091568502, 'f1-score': 0.5797741434381163, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705312560345145, 'recall': 0.9789416846652268, 'f1-score': 0.9725284665513285, 'support': 1852.0}} 0.0211 {'~CL': {'precision': 0.9746909947027663, 'recall': 0.9910233393177738, 'f1-score': 0.9827893175074184, 'support': 1671.0}, 'CL': {'precision': 0.9019607843137255, 'recall': 0.7624309392265194, 'f1-score': 0.8263473053892215, 'support': 181.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.9383258895082459, 'recall': 0.8767271392721465, 'f1-score': 0.90456831144832, 'support': 1852.0}, 'weighted avg': {'precision': 0.9675829125859108, 'recall': 0.968682505399568, 'f1-score': 0.9674998983965147, 'support': 1852.0}} 0.0313 {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}} 0.0022 {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}} 0.0038 {'~PL': {'precision': 0.9776444929116684, 'recall': 0.9950055493895672, 'f1-score': 0.9862486248624862, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.18, 'f1-score': 0.2647058823529412, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7388222464558343, 'recall': 0.5875027746947836, 'f1-score': 0.6254772536077137, 'support': 1852.0}, 'weighted avg': {'precision': 0.9647491232326277, 'recall': 0.9730021598272138, 'f1-score': 0.9667685292223798, 'support': 1852.0}} 0.0270 {'~TI': {'precision': 0.9742888402625821, 'recall': 0.9922005571030641, 'f1-score': 0.9831631244824731, 'support': 1795.0}, 'TI': {'precision': 0.4166666666666667, 'recall': 0.17543859649122806, 'f1-score': 0.24691358024691357, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6954777534646244, 'recall': 0.5838195767971461, 'f1-score': 0.6150383523646934, 'support': 1852.0}, 'weighted avg': {'precision': 0.9571266027383017, 'recall': 0.9670626349892009, 'f1-score': 0.9605031763067566, 'support': 1852.0}} 0.0329 {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}} 0.0157 {'f1-score': 0.6404785561354858, 'hamming': 0.018156047516198703}

Framework versions

  • Transformers 4.52.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1
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