Upload 10 files
Browse files- 03_2024_tt_hard_main_plotting_data/main_plotting_data.csv +31 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data_AUC__test.csv +30 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data_Accuracy__test.csv +30 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data_F1__test.csv +30 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data_Log Loss__test.csv +30 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data_TACE__test.csv +30 -0
- 03_2024_tt_hard_main_plotting_data/main_plotting_data__runtime.csv +30 -0
- 05_2024_tabzilla_main_plotting_data/core_results_top_algs_acc_only.csv +676 -0
- 05_2024_tabzilla_main_plotting_data/main_table_results_newlogic_05_16_2024.csv +0 -0
- 05_2024_tabzilla_main_plotting_data/tt-rebuttal-all-algos-old-md-05_16_2024.csv +0 -0
03_2024_tt_hard_main_plotting_data/main_plotting_data.csv
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,dataset_name,CatBoost_Acc_Test,TabPFNS3000_Acc_Test,Classes,Features,Samples,Delta,PT-PFN_Acc_Test,TabPFNs3000_Acc_Test,_ft_Acc_Test,_pt100_Acc_Test,_pt100-pca_Acc_Test,_pt100-prop_Acc_Test,_pt100-rand_Acc_Test,_pt100-uniform_bptt_128_Acc_Test,_pt1000_Acc_Test,_pt1000-10ens-randinit-avg-top2_Acc_Test,_pt1000-10ens-randinit-avg-top2-unif_bptt_128_Acc_Test,_pt1000-uniform_bptt_128_Acc_Test,_zs-32_Acc_Test,_zs-ica-32_ica_Acc_Test,_zs-isomap-32_isomap_Acc_Test,_zs-mutual_information-32_mutual_information_Acc_Test,_zs-pca_white-32_pca_white_Acc_Test,_zs-random-32_random_Acc_Test,_zs-random-32_rdq_3000_random_Acc_Test,_zs-sparse_random_projection-32_sparse_random_projection_Acc_Test,_zs-ica-32_rdq_3000_ica_Acc_Test,_zs-isomap-32_rdq_3000_isomap_Acc_Test,_zs-mutual_information-32_rdq_3000_mutual_information_Acc_Test,_zs-pca_white-32_rdq_3000_pca_white_Acc_Test,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection_Acc_Test,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128_Acc_Test,_zs-random-32_bptt_128_random_Acc_Test,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128_Acc_Test,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128_Acc_Test,_pt10-5ens-randinit-avg-top1-highlr-longep_Acc_Test
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03_2024_tt_hard_main_plotting_data/main_plotting_data_AUC__test.csv
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,time__train_x,time__val_x,time__test_x,dataset_name,CatBoost_Accuracy__test,CatBoost_AUC__test,CatBoost_F1__test,CatBoost_Log Loss__test,CatBoost__runtime,time__train_y,time__val_y,time__test_y,TabPFNs3000_Accuracy__test,TabPFNs3000_AUC__test,TabPFNs3000_F1__test,Log Loss__test,TabPFNs3000__runtime,Classes,Features,Samples,Delta,CatBoost__runtime_cumul,TabPFNs3000__runtime_cumul,_ft_AUC__test,_pt100_AUC__test,_pt100-pca_AUC__test,_pt100-prop_AUC__test,_pt100-rand_AUC__test,_pt100-uniform_bptt_128_AUC__test,_pt1000_AUC__test,_pt1000-10ens-randinit-avg-top2_AUC__test,_pt1000-10ens-randinit-avg-top2-unif_bptt_128_AUC__test,_pt1000-uniform_bptt_128_AUC__test,_zs-32_AUC__test,_zs-ica-32_ica_AUC__test,_zs-isomap-32_isomap_AUC__test,_zs-mutual_information-32_mutual_information_AUC__test,_zs-pca_white-32_pca_white_AUC__test,_zs-random-32_random_AUC__test,_zs-random-32_rdq_3000_random_AUC__test,_zs-sparse_random_projection-32_sparse_random_projection_AUC__test,_zs-ica-32_rdq_3000_ica_AUC__test,_zs-isomap-32_rdq_3000_isomap_AUC__test,_zs-mutual_information-32_rdq_3000_mutual_information_AUC__test,_zs-pca_white-32_rdq_3000_pca_white_AUC__test,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection_AUC__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128_AUC__test,_zs-random-32_bptt_128_random_AUC__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128_AUC__test,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128_AUC__test,_pt10-5ens-randinit-avg-top1-highlr-longep_AUC__test,TuneTables_AUC__test
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|
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|
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25,11.80475593,0.565833611,0.627260543,openml__poker-hand__9890,0.946,0.904151165,0.940036058,0.294163927,12.997850084,0.204482389,99.70247543,100.0869051,0.538,0.526817707,0.460420564,0.97826943,199.993862919,10,10,1025009,0.4079999999999999,5331.2158255689965,2422.621081536,0.398,0.621,0.0,0.0,0.0,0.658,0.662,0.0,0.0,0.665,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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|
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|
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+
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03_2024_tt_hard_main_plotting_data/main_plotting_data_Accuracy__test.csv
ADDED
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1 |
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2 |
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0,5.470622146000058,0.3081685930000711,0.2697746459999158,openml__Agrawal1__146093,0.95,0.9922524338093052,0.95028,0.1015905347595692,6.048565385000045,0.0257159914999999,216.10440818333333,216.100852075,0.946,0.991382224,0.94613,0.118412576,432.23097624983336,2,9,1000000,0.004,142.21880345900058,5158.457872427,0.948,0.95,0.95,0.949,0.95,0.949,0.951,0.95,0.949,0.95,0.946,0.946,0.946,0.946,0.946,0.946,0.949,0.946,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.95
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3 |
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1,6.712467547000415,0.333046784000544,0.2795216579997941,openml__BNG(labor)__2137,0.971,0.995435226212942,0.9709,0.0789120235817314,7.325035989000753,0.0404576729166666,229.75083339166667,230.02355321666667,0.938,0.982160934,0.93836,0.158320097,459.81484428125,2,16,1000000,0.033,226.24090193899963,5517.778131375,0.931,0.965,0.0,0.0,0.0,0.964,0.966,0.0,0.967,0.965,0.931,0.931,0.931,0.931,0.931,0.931,0.939,0.931,0.939,0.939,0.939,0.939,0.939,0.0,0.0,0.0,0.0,0.0,0.967
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4 |
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2,1.5888877130000765,0.0934003419999953,0.0894851520001793,openml__BNG(vote)__212,0.975,0.9965480960796268,0.975358559658224,0.0690769146346344,1.7717732070002512,0.0181596289666666,32.898036691,32.942841675,0.968,0.994735757,0.967958499,0.089439914,65.85903799496666,2,16,131072,0.007,42.33509391500075,1975.771139849,0.964,0.974,0.0,0.0,0.0,0.974,0.973,0.0,0.974,0.974,0.964,0.964,0.964,0.964,0.964,0.964,0.969,0.964,0.969,0.969,0.969,0.969,0.969,0.0,0.0,0.0,0.0,0.0,0.974
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5 |
+
3,7.746180762999984,0.024661285,0.039857836,openml__Bioresponse__9910,0.803,0.8785657007692176,0.8026666668333333,0.4413562428209103,7.810699883999984,15.97173061,2.510121327,2.535230565,0.819,0.885324779,0.818666667,0.426594963,21.017082502,2,1776,3751,-0.0159999999999999,112.8807289969997,637.6825195179999,0.743,0.746,0.0,0.0,0.0,0.763,0.747,0.782,0.766,0.76,0.511,0.757,0.676,0.785,0.765,0.511,0.496,0.744,0.768,0.705,0.794,0.773,0.763,0.0,0.0,0.0,0.0,0.0,0.798
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6 |
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4,3.756384093333357,0.2087500393336085,0.1790102806668679,openml__Click_prediction_small__7294,0.842,0.7411903247483873,0.8420754877566449,0.3931113538083483,4.144144413333834,0.00419184864,205.15669212,205.23646846,0.834,0.660424981,0.834190276,0.438609122,410.39735242864,2,11,1997410,0.008,84.52601750300504,10420.932464965,0.834,0.834,0.0,0.0,0.0,0.835,0.834,0.0,0.837,0.834,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.833,0.0,0.0,0.0,0.0,0.0,0.837
|
7 |
+
5,7.002171533999899,0.1658183260000214,0.1667769039999029,openml__airlines__189354,0.664,0.715663080898347,0.6638424887372772,0.6102318729770216,7.334766763999823,0.107881647,46.35491462,46.32232302,0.602,0.627776793,0.601505432,0.662776883,92.785119287,2,7,539383,0.062,154.94846123799965,2601.905862934,0.597,0.642,0.0,0.0,0.0,0.651,0.642,0.646,0.653,0.645,0.591,0.591,0.591,0.591,0.591,0.591,0.592,0.591,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.653
|
8 |
+
6,32.9199185,1.065179694,1.028028079,openml__albert__189356,0.702,0.772683423,0.701650832,0.570533593,35.013126273000005,0.290836405,61.83054206,61.85995655,0.637,0.686704832,0.637146082,0.642012404,123.981335015,2,78,425240,0.0649999999999999,1077.832535778998,2363.26732168,0.614,0.658,0.0,0.0,0.0,0.649,0.653,0.654,0.658,0.648,0.631,0.631,0.631,0.631,0.631,0.631,0.64,0.631,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.658
|
9 |
+
7,2.0969730230000003,0.004232093,0.0037586944999999,openml__balance-scale__11,0.871,0.9269704435,0.8766434679999999,0.315155614,2.1049638105000006,0.0034269484611111,0.4837116587,0.4804506585166667,0.984,0.9986590038333332,0.9841059798333334,0.0376524361666666,0.9675892656777778,3,4,625,-0.1129999999999999,52.77163177800003,28.858380775,0.932,0.926,0.0,0.0,0.0,0.91,0.937,0.926,0.931,0.937,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.995,0.937,0.0,0.0,0.0,0.0,0.995
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10 |
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8,0.5243480059999968,0.0024975609999984,0.001858184999989,openml__blood-transfusion-service-center__10101,0.76,0.6837231968810916,0.76,0.529753857894844,0.5287037519999842,0.0027001020666666,0.4111778751166666,0.40855609365,0.8,0.7422027290000001,0.8,0.483310191,0.8224340708333333,2,4,748,-0.04,24.005330601000004,24.85534249,0.787,0.764,0.0,0.0,0.0,0.773,0.773,0.76,0.769,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.782,0.0,0.0,0.0,0.0,0.0,0.782
|
11 |
+
9,0.683357049,0.002083907,0.003628377,openml__breast-cancer__145799,0.724,0.572222222,0.724137931,0.623271668,0.6890693330000001,0.0036480464,0.4910725950333333,0.4890001832666666,0.724,0.683333333,0.724137931,0.607275837,0.9837208247,2,9,286,0.0,36.98268649699998,28.809067924,0.747,0.724,0.0,0.0,0.0,0.736,0.736,0.724,0.724,0.701,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.77,0.724,0.0,0.0,0.0,0.0,0.77
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12 |
+
10,7.534317677,0.122488907,0.088211616,openml__christine__168908,0.747,0.805789682,0.747232472,0.53843966,7.7450182,17.26202825,2.645428466,2.649614014,0.718,0.803461282,0.717712177,0.54356054,22.55707073,2,1636,5418,0.029,331.16304046499994,665.780805546,0.719,0.735,0.0,0.0,0.0,0.75,0.72,0.707,0.72,0.715,0.542,0.69,0.663,0.734,0.697,0.542,0.509,0.673,0.716,0.695,0.75,0.721,0.681,0.0,0.0,0.0,0.0,0.0,0.755
|
13 |
+
11,0.7101826414666675,0.0030368920666662,0.0019932594666681,openml__climate-model-simulation-crashes__146819,0.931,0.9199591836734694,0.9308641975308642,0.1817228586090829,0.715212793000002,0.0031530145666666,0.9628938471333334,0.9609364159,0.963,0.995918367,0.962962963,0.095938911,1.9269832776,2,18,540,-0.0319999999999999,24.90149524999991,58.653850509,0.95,0.895,0.0,0.0,0.0,0.957,0.901,0.932,0.932,0.938,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.951,0.0,0.0,0.0,0.0,0.0,0.951
|
14 |
+
12,1.767557970499976,0.0041701067500045,0.0038837207499921,openml__cmc__23,0.541,0.7240648784766432,0.5394617101471331,0.9050649778636488,1.7756117979999728,0.0076830162,1.4816383416666667,1.517026279466667,0.612,0.801546795,0.6106029969999999,0.814499658,3.006347637333333,3,9,1473,-0.0709999999999999,78.0940242059999,90.992666256,0.538,0.536,0.0,0.0,0.0,0.552,0.545,0.532,0.55,0.559,0.529,0.529,0.529,0.529,0.529,0.529,0.527,0.529,0.527,0.527,0.527,0.527,0.527,0.545,0.0,0.538,0.532,0.0,0.556
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15 |
+
13,3.116649851,0.0079430004,0.0087920426,openml__colic__27,0.88,0.9136566332,0.8800300302,0.3279212808,3.133384894,0.00626450725,1.039176798725,0.2950731888666666,0.878,0.9257246375,0.8783783785,0.3394817115,1.3405144948416667,2,22,368,0.002,218.03472810699975,39.318811862,0.901,0.838,0.0,0.0,0.0,0.847,0.847,0.829,0.838,0.883,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.892,0.865,0.0,0.0,0.0,0.0,0.892
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16 |
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14,16.10980553899992,0.1664539639999702,0.0753670149999834,openml__connect-4__146195,0.821,0.8714282929352183,0.7935125192418586,0.4735943453577545,16.351626517999875,0.078215876,11.57486992,11.56509022,0.674,0.63279599,0.561726899,0.798451332,23.218176016,3,42,67557,0.1469999999999999,203.91656724100008,696.1219075710001,0.691,0.772,0.0,0.0,0.0,0.818,0.813,0.815,0.816,0.81,0.658,0.658,0.658,0.658,0.658,0.658,0.659,0.658,0.659,0.659,0.659,0.659,0.659,0.0,0.0,0.0,0.0,0.0,0.817
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17 |
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15,2.2007190675,0.0068596795,0.006668592,openml__cylinder-bands__14954,0.787,0.875876578,0.7870370369999999,0.4432832614999999,2.2142473390000004,0.0086395307333333,1.2392787959,0.1384382922833333,0.796,0.8779803645,0.7962962965,0.426671806,1.3863566189166667,2,37,540,-0.009,93.96384226299988,40.877431747,0.852,0.833,0.0,0.0,0.0,0.765,0.876,0.864,0.0,0.778,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.839,0.0,0.0,0.0,0.0,0.0,0.846
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18 |
+
16,12.705649266000364,0.0253858694999999,0.0240511625,openml__dilbert__168909,0.962,0.9980737767306512,0.9620142602004532,0.1891437944932896,12.755086298000364,20.24626359,2.63832077,2.643935549,0.926,0.994870308,0.926028549,0.207929398,25.528519909000003,5,2000,10000,0.0359999999999999,808.7302073720009,761.177292713,0.826,0.956,0.866,0.851,0.247,0.981,0.897,0.989,0.992,0.938,0.187,0.836,0.852,0.845,0.84,0.187,0.166,0.825,0.871,0.894,0.908,0.871,0.883,0.0,0.0,0.0,0.0,0.0,0.992
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19 |
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17,1.0613462890000278,0.002148983,0.001866037,openml__dresses-sales__125920,0.54,0.5336617407791462,0.54,0.7372118008245981,1.065361309000028,0.0047379718999999,0.6776733982333333,0.6741126546333334,0.6,0.518883415,0.6,0.680896459,1.3565240247666668,2,12,500,-0.0599999999999999,40.14926567900007,40.88002789,0.52,0.513,0.0,0.0,0.0,0.58,0.567,0.0,0.0,0.533,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.58,0.0,0.0,0.0,0.0,0.0,0.58
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20 |
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18,1.2137729179999042,0.0040946059999669,0.0018661049999764,openml__ecoli__145977,0.939,0.9864166666666668,0.940891675374434,0.473745157887242,1.2197336289998475,0.0031570047,0.5202862838666666,0.5174876858666667,0.727,0.933968254,0.722274469,0.808689146,1.0409309744333335,8,7,336,0.2119999999999999,73.0581343779998,30.157485255,0.814,0.804,0.0,0.0,0.0,0.774,0.765,0.0,0.0,0.775,0.0,0.0,0.0,0.0,0.0,0.833,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.843
|
21 |
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19,0.7855818209999939,0.0096529170000394,0.0094471759999805,openml__eeg-eye-state__14951,0.892,0.9592269111034244,0.8918558077436582,0.2909743833609272,0.8046819140000138,0.009589148,2.88132878,2.885320427,0.937,0.985335236,0.9372496665,0.1639740025,5.776238355,2,14,14980,-0.045,27.7347285350001,177.537890798,0.574,0.619,0.0,0.0,0.0,0.621,0.67,0.975,0.986,0.651,0.916,0.916,0.916,0.916,0.916,0.916,0.944,0.916,0.944,0.944,0.944,0.944,0.944,0.0,0.0,0.0,0.0,0.0,0.986
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22 |
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20,2.5907953109999937,0.0022141070000145,0.0031435010000109,openml__elevators__3711,0.892,0.9422155602121648,0.891566265060241,0.2676982953037469,2.596152919000019,0.011595818,3.048263756,3.024166882,0.895,0.954868281,0.895180723,0.235062224,6.084026456,2,18,16599,-0.003,175.79024307999993,186.239942431,0.894,0.898,0.0,0.0,0.0,0.899,0.897,0.9,0.895,0.896,0.893,0.893,0.893,0.893,0.893,0.893,0.898,0.893,0.898,0.898,0.898,0.898,0.898,0.0,0.0,0.0,0.0,0.0,0.902
|
23 |
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21,3.637687279,0.010283656,0.010784698,openml__har__14970,0.978,0.999670225,0.977649721,0.061473148,3.658755633,6.869466946,2.66944197,2.666020572,0.962,0.998168057,0.962103683,0.103501674,12.204929488,6,561,10299,0.016,302.2015474079996,370.311629352,0.942,0.963,0.0,0.0,0.0,0.975,0.972,0.981,0.0,0.982,0.158,0.944,0.93,0.938,0.94,0.158,0.142,0.944,0.955,0.943,0.946,0.951,0.957,0.0,0.0,0.0,0.0,0.0,0.981
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24 |
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22,0.5060319539999997,0.0009211037999944,0.0007649834000064,openml__heart-c__48,0.839,0.9016806722689076,0.8387096774193548,0.3848725473147411,0.5077180412000005,0.0070161615,0.7472180953333333,0.5735516052333334,0.839,0.945378151,0.838709677,0.305099716,1.3277858620666665,2,13,303,0.0,20.763378017000058,39.833575862,0.893,0.86,0.0,0.0,0.0,0.785,0.828,0.839,0.871,0.817,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.849,0.0,0.0,0.0,0.0,0.903
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25 |
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23,1.646659345,0.008067571,0.010838793,openml__higgs__146606,0.714,0.789788004,0.714227435,0.550702851,1.665565709,0.029005587,15.54555114,15.54479229,0.665,0.718481195,0.664558899,0.616013883,31.119349017,2,28,98050,0.0489999999999999,80.32815223099976,931.453607834,0.648,0.702,0.0,0.0,0.0,0.707,0.701,0.714,0.714,0.703,0.633,0.633,0.633,0.633,0.633,0.633,0.658,0.633,0.658,0.658,0.658,0.658,0.658,0.0,0.0,0.0,0.0,0.7,0.714
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27 |
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|
03_2024_tt_hard_main_plotting_data/main_plotting_data_F1__test.csv
ADDED
@@ -0,0 +1,30 @@
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1 |
+
,time__train_x,time__val_x,time__test_x,dataset_name,CatBoost_Accuracy__test,CatBoost_AUC__test,CatBoost_F1__test,CatBoost_Log Loss__test,CatBoost__runtime,time__train_y,time__val_y,time__test_y,TabPFNs3000_Accuracy__test,TabPFNs3000_AUC__test,TabPFNs3000_F1__test,Log Loss__test,TabPFNs3000__runtime,Classes,Features,Samples,Delta,CatBoost__runtime_cumul,TabPFNs3000__runtime_cumul,_ft_F1__test,_pt100_F1__test,_pt100-pca_F1__test,_pt100-prop_F1__test,_pt100-rand_F1__test,_pt100-uniform_bptt_128_F1__test,_pt1000_F1__test,_pt1000-10ens-randinit-avg-top2_F1__test,_pt1000-10ens-randinit-avg-top2-unif_bptt_128_F1__test,_pt1000-uniform_bptt_128_F1__test,_zs-32_F1__test,_zs-ica-32_ica_F1__test,_zs-isomap-32_isomap_F1__test,_zs-mutual_information-32_mutual_information_F1__test,_zs-pca_white-32_pca_white_F1__test,_zs-random-32_random_F1__test,_zs-random-32_rdq_3000_random_F1__test,_zs-sparse_random_projection-32_sparse_random_projection_F1__test,_zs-ica-32_rdq_3000_ica_F1__test,_zs-isomap-32_rdq_3000_isomap_F1__test,_zs-mutual_information-32_rdq_3000_mutual_information_F1__test,_zs-pca_white-32_rdq_3000_pca_white_F1__test,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection_F1__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128_F1__test,_zs-random-32_bptt_128_random_F1__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128_F1__test,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128_F1__test,_pt10-5ens-randinit-avg-top1-highlr-longep_F1__test,TuneTables_F1__test
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|
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|
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21,3.637687279,0.010283656,0.010784698,openml__har__14970,0.978,0.999670225,0.977649721,0.061473148,3.658755633,6.869466946,2.66944197,2.666020572,0.962,0.998168057,0.962103683,0.103501674,12.204929488,6,561,10299,0.016,302.2015474079996,370.311629352,0.942,0.963,0.0,0.0,0.0,0.975,0.972,0.0,0.0,0.982,0.071,0.944,0.93,0.938,0.94,0.071,0.056,0.944,0.955,0.942,0.946,0.951,0.957,0.0,0.0,0.0,0.0,0.0,0.0
|
24 |
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22,0.5060319539999997,0.0009211037999944,0.0007649834000064,openml__heart-c__48,0.839,0.9016806722689076,0.8387096774193548,0.3848725473147411,0.5077180412000005,0.0070161615,0.7472180953333333,0.5735516052333334,0.839,0.945378151,0.838709677,0.305099716,1.3277858620666665,2,13,303,0.0,20.763378017000058,39.833575862,0.893,0.86,0.0,0.0,0.0,0.785,0.828,0.807,0.868,0.813,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.903,0.858,0.0,0.0,0.0,0.0,0.903
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25 |
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23,1.646659345,0.008067571,0.010838793,openml__higgs__146606,0.714,0.789788004,0.714227435,0.550702851,1.665565709,0.029005587,15.54555114,15.54479229,0.665,0.718481195,0.664558899,0.616013883,31.119349017,2,28,98050,0.0489999999999999,80.32815223099976,931.453607834,0.648,0.702,0.0,0.0,0.0,0.707,0.7,0.0,0.0,0.702,0.629,0.629,0.629,0.629,0.629,0.629,0.655,0.629,0.655,0.655,0.655,0.655,0.655,0.0,0.0,0.0,0.0,0.682,0.0
|
26 |
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24,1.4284999560000031,0.0019136319999972,0.0013436509999991,openml__kc1__3917,0.848,0.7827715355805244,0.8483412322274881,0.3705616047255672,1.4317572389999995,0.0039983374333333,2.802545583633333,2.804047886766667,0.848,0.8334497209999999,0.848341232,0.343851776,5.610591807833334,2,21,2109,0.0,48.68953584500001,168.444710009,0.798,0.841,0.0,0.0,0.0,0.822,0.815,0.0,0.0,0.809,0.817,0.817,0.817,0.817,0.817,0.817,0.814,0.817,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.856
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25,11.80475593,0.565833611,0.627260543,openml__poker-hand__9890,0.946,0.904151165,0.940036058,0.294163927,12.997850084,0.204482389,99.70247543,100.0869051,0.538,0.526817707,0.460420564,0.97826943,199.993862919,10,10,1025009,0.4079999999999999,5331.2158255689965,2422.621081536,0.65,0.74,0.0,0.0,0.0,0.996,0.999,0.0,0.0,0.993,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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28 |
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26,22.8978285,0.044061628,0.041596603,openml__riccardo__168338,0.995,0.999322667,0.9945,0.067689156,22.983486731,41.65315646,2.850443753,2.859815671,0.955,0.994027333,0.9545,0.236307706,47.363415884,2,4296,20000,0.04,692.077559765,1395.120138703,0.915,0.967,0.0,0.0,0.0,0.988,0.991,0.0,0.0,0.993,0.643,0.937,0.932,0.871,0.933,0.643,0.643,0.66,0.934,0.964,0.737,0.965,0.708,0.0,0.0,0.0,0.0,0.0,0.0
|
29 |
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27,21.52100564,0.064050898,0.064181641,openml__robert__168332,0.455,0.863807251,0.45238274,1.550217812,21.649238179,82.24773821,2.572721582,2.570836216,0.246,0.732318267,0.219929961,2.035676521,87.391296008,10,7200,10000,0.209,598.6642134619999,963.968665696,0.284,0.352,0.0,0.0,0.0,0.4,0.385,0.0,0.0,0.405,0.08,0.316,0.23,0.173,0.315,0.08,0.055,0.281,0.376,0.241,0.205,0.373,0.33,0.0,0.0,0.0,0.0,0.0,0.0
|
30 |
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28,34.98679879200006,0.1007127519999357,0.0917363049999266,openml__volkert__168331,0.67,0.9236484636544132,0.6598869395543814,0.9568509029322412,35.17924784899992,3.614878545,5.87164821,5.867251964,0.569,0.861786603,0.511191627,1.237311835,15.353778719,10,180,58310,0.101,229.9278665180002,458.74335163,0.437,0.601,0.0,0.0,0.0,0.653,0.642,0.0,0.0,0.636,0.079,0.431,0.0,0.486,0.449,0.079,0.079,0.489,0.451,0.0,0.496,0.463,0.501,0.0,0.0,0.0,0.0,0.0,0.0
|
03_2024_tt_hard_main_plotting_data/main_plotting_data_Log Loss__test.csv
ADDED
@@ -0,0 +1,30 @@
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1 |
+
,time__train_x,time__val_x,time__test_x,dataset_name,CatBoost_Accuracy__test,CatBoost_AUC__test,CatBoost_F1__test,CatBoost_Log Loss__test,CatBoost__runtime,time__train_y,time__val_y,time__test_y,TabPFNs3000_Accuracy__test,TabPFNs3000_AUC__test,TabPFNs3000_F1__test,Log Loss__test,TabPFNs3000__runtime,Classes,Features,Samples,Delta,CatBoost__runtime_cumul,TabPFNs3000__runtime_cumul,_ft_Log Loss__test,_pt100_Log Loss__test,_pt100-pca_Log Loss__test,_pt100-prop_Log Loss__test,_pt100-rand_Log Loss__test,_pt100-uniform_bptt_128_Log Loss__test,_pt1000_Log Loss__test,_pt1000-10ens-randinit-avg-top2_Log Loss__test,_pt1000-10ens-randinit-avg-top2-unif_bptt_128_Log Loss__test,_pt1000-uniform_bptt_128_Log Loss__test,_zs-32_Log Loss__test,_zs-ica-32_ica_Log Loss__test,_zs-isomap-32_isomap_Log Loss__test,_zs-mutual_information-32_mutual_information_Log Loss__test,_zs-pca_white-32_pca_white_Log Loss__test,_zs-random-32_random_Log Loss__test,_zs-random-32_rdq_3000_random_Log Loss__test,_zs-sparse_random_projection-32_sparse_random_projection_Log Loss__test,_zs-ica-32_rdq_3000_ica_Log Loss__test,_zs-isomap-32_rdq_3000_isomap_Log Loss__test,_zs-mutual_information-32_rdq_3000_mutual_information_Log Loss__test,_zs-pca_white-32_rdq_3000_pca_white_Log Loss__test,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection_Log Loss__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128_Log Loss__test,_zs-random-32_bptt_128_random_Log Loss__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128_Log Loss__test,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128_Log Loss__test,_pt10-5ens-randinit-avg-top1-highlr-longep_Log Loss__test,TuneTables_Log Loss__test
|
2 |
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0,5.470622146000058,0.3081685930000711,0.2697746459999158,openml__Agrawal1__146093,0.95,0.9922524338093052,0.95028,0.1015905347595692,6.048565385000045,0.0257159914999999,216.10440818333333,216.100852075,0.946,0.991382224,0.94613,0.118412576,432.23097624983336,2,9,1000000,0.004,142.21880345900058,5158.457872427,0.157,0.146,0.147,0.165,0.147,0.107,0.104,0.0,0.0,0.104,0.133,0.133,0.133,0.133,0.133,0.133,0.116,0.133,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
3 |
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1,6.712467547000415,0.333046784000544,0.2795216579997941,openml__BNG(labor)__2137,0.971,0.995435226212942,0.9709,0.0789120235817314,7.325035989000753,0.0404576729166666,229.75083339166667,230.02355321666667,0.938,0.982160934,0.93836,0.158320097,459.81484428125,2,16,1000000,0.033,226.24090193899963,5517.778131375,0.184,0.099,0.0,0.0,0.0,0.1,0.098,0.0,0.0,0.099,0.184,0.184,0.184,0.184,0.184,0.184,0.16,0.184,0.16,0.16,0.16,0.16,0.16,0.0,0.0,0.0,0.0,0.0,0.0
|
4 |
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|
5 |
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3,7.746180762999984,0.024661285,0.039857836,openml__Bioresponse__9910,0.803,0.8785657007692176,0.8026666668333333,0.4413562428209103,7.810699883999984,15.97173061,2.510121327,2.535230565,0.819,0.885324779,0.818666667,0.426594963,21.017082502,2,1776,3751,-0.0159999999999999,112.8807289969997,637.6825195179999,0.548,0.544,0.0,0.0,0.0,0.565,0.58,0.0,0.0,0.537,0.731,0.512,0.63,0.476,0.505,0.731,0.75,0.523,0.494,0.578,0.457,0.483,0.497,0.0,0.0,0.0,0.0,0.0,0.45
|
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|
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5,7.002171533999899,0.1658183260000214,0.1667769039999029,openml__airlines__189354,0.664,0.715663080898347,0.6638424887372772,0.6102318729770216,7.334766763999823,0.107881647,46.35491462,46.32232302,0.602,0.627776793,0.601505432,0.662776883,92.785119287,2,7,539383,0.062,154.94846123799965,2601.905862934,0.67,0.652,0.0,0.0,0.0,0.627,0.634,0.0,0.0,0.632,0.669,0.669,0.669,0.669,0.669,0.669,0.666,0.669,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
8 |
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6,32.9199185,1.065179694,1.028028079,openml__albert__189356,0.702,0.772683423,0.701650832,0.570533593,35.013126273000005,0.290836405,61.83054206,61.85995655,0.637,0.686704832,0.637146082,0.642012404,123.981335015,2,78,425240,0.0649999999999999,1077.832535778998,2363.26732168,0.682,0.649,0.0,0.0,0.0,0.632,0.651,0.0,0.0,0.632,0.644,0.644,0.644,0.644,0.644,0.644,0.636,0.644,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
9 |
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7,2.0969730230000003,0.004232093,0.0037586944999999,openml__balance-scale__11,0.871,0.9269704435,0.8766434679999999,0.315155614,2.1049638105000006,0.0034269484611111,0.4837116587,0.4804506585166667,0.984,0.9986590038333332,0.9841059798333334,0.0376524361666666,0.9675892656777778,3,4,625,-0.1129999999999999,52.77163177800003,28.858380775,0.171,0.171,0.0,0.0,0.0,0.198,0.156,0.197,0.229,0.161,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.022,0.182,0.0,0.0,0.0,0.0,0.023
|
10 |
+
8,0.5243480059999968,0.0024975609999984,0.001858184999989,openml__blood-transfusion-service-center__10101,0.76,0.6837231968810916,0.76,0.529753857894844,0.5287037519999842,0.0027001020666666,0.4111778751166666,0.40855609365,0.8,0.7422027290000001,0.8,0.483310191,0.8224340708333333,2,4,748,-0.04,24.005330601000004,24.85534249,0.48,0.596,0.0,0.0,0.0,0.519,0.501,0.0,0.0,0.523,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.479,0.0,0.0,0.0,0.0,0.0,0.479
|
11 |
+
9,0.683357049,0.002083907,0.003628377,openml__breast-cancer__145799,0.724,0.572222222,0.724137931,0.623271668,0.6890693330000001,0.0036480464,0.4910725950333333,0.4890001832666666,0.724,0.683333333,0.724137931,0.607275837,0.9837208247,2,9,286,0.0,36.98268649699998,28.809067924,0.589,0.798,0.0,0.0,0.0,0.644,0.62,0.0,0.0,0.699,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.629,0.0,0.0,0.0,0.0,0.55
|
12 |
+
10,7.534317677,0.122488907,0.088211616,openml__christine__168908,0.747,0.805789682,0.747232472,0.53843966,7.7450182,17.26202825,2.645428466,2.649614014,0.718,0.803461282,0.717712177,0.54356054,22.55707073,2,1636,5418,0.029,331.16304046499994,665.780805546,0.627,0.602,0.0,0.0,0.0,0.531,0.622,0.0,0.0,0.558,0.721,0.593,0.624,0.54,0.588,0.721,0.858,0.609,0.559,0.596,0.519,0.558,0.594,0.0,0.0,0.0,0.0,0.0,0.511
|
13 |
+
11,0.7101826414666675,0.0030368920666662,0.0019932594666681,openml__climate-model-simulation-crashes__146819,0.931,0.9199591836734694,0.9308641975308642,0.1817228586090829,0.715212793000002,0.0031530145666666,0.9628938471333334,0.9609364159,0.963,0.995918367,0.962962963,0.095938911,1.9269832776,2,18,540,-0.0319999999999999,24.90149524999991,58.653850509,0.168,0.463,0.0,0.0,0.0,0.216,0.219,0.0,0.0,0.243,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.184,0.0,0.0,0.0,0.0,0.0,0.183
|
14 |
+
12,1.767557970499976,0.0041701067500045,0.0038837207499921,openml__cmc__23,0.541,0.7240648784766432,0.5394617101471331,0.9050649778636488,1.7756117979999728,0.0076830162,1.4816383416666667,1.517026279466667,0.612,0.801546795,0.6106029969999999,0.814499658,3.006347637333333,3,9,1473,-0.0709999999999999,78.0940242059999,90.992666256,0.958,0.99,0.0,0.0,0.0,1.066,0.972,0.692,0.871,1.054,0.947,0.947,0.947,0.947,0.947,0.947,0.948,0.947,0.948,0.948,0.948,0.948,0.948,1.166,0.0,1.166,1.191,0.0,1.007
|
15 |
+
13,3.116649851,0.0079430004,0.0087920426,openml__colic__27,0.88,0.9136566332,0.8800300302,0.3279212808,3.133384894,0.00626450725,1.039176798725,0.2950731888666666,0.878,0.9257246375,0.8783783785,0.3394817115,1.3405144948416667,2,22,368,0.002,218.03472810699975,39.318811862,0.343,0.374,0.0,0.0,0.0,0.423,0.369,0.0,0.0,0.364,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.316,0.334,0.0,0.0,0.0,0.0,0.313
|
16 |
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14,16.10980553899992,0.1664539639999702,0.0753670149999834,openml__connect-4__146195,0.821,0.8714282929352183,0.7935125192418586,0.4735943453577545,16.351626517999875,0.078215876,11.57486992,11.56509022,0.674,0.63279599,0.561726899,0.798451332,23.218176016,3,42,67557,0.1469999999999999,203.91656724100008,696.1219075710001,0.91,0.751,0.0,0.0,0.0,0.508,0.492,0.0,0.0,0.765,0.829,0.829,0.829,0.829,0.829,0.829,0.81,0.829,0.81,0.81,0.81,0.81,0.81,0.0,0.0,0.0,0.0,0.0,0.0
|
17 |
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15,2.2007190675,0.0068596795,0.006668592,openml__cylinder-bands__14954,0.787,0.875876578,0.7870370369999999,0.4432832614999999,2.2142473390000004,0.0086395307333333,1.2392787959,0.1384382922833333,0.796,0.8779803645,0.7962962965,0.426671806,1.3863566189166667,2,37,540,-0.009,93.96384226299988,40.877431747,0.349,0.353,0.0,0.0,0.0,0.51,0.346,0.38,0.0,0.609,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.344,0.0,0.0,0.0,0.0,0.0,0.347
|
18 |
+
16,12.705649266000364,0.0253858694999999,0.0240511625,openml__dilbert__168909,0.962,0.9980737767306512,0.9620142602004532,0.1891437944932896,12.755086298000364,20.24626359,2.63832077,2.643935549,0.926,0.994870308,0.926028549,0.207929398,25.528519909000003,5,2000,10000,0.0359999999999999,808.7302073720009,761.177292713,0.461,0.135,0.475,0.623,2.827,0.073,0.348,0.0,0.0,0.274,1.882,0.46,0.356,0.424,0.442,1.882,1.931,0.443,0.37,0.292,0.283,0.361,0.324,0.0,0.0,0.0,0.0,0.0,0.0
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17,1.0613462890000278,0.002148983,0.001866037,openml__dresses-sales__125920,0.54,0.5336617407791462,0.54,0.7372118008245981,1.065361309000028,0.0047379718999999,0.6776733982333333,0.6741126546333334,0.6,0.518883415,0.6,0.680896459,1.3565240247666668,2,12,500,-0.0599999999999999,40.14926567900007,40.88002789,0.793,1.57,0.0,0.0,0.0,0.67,0.791,0.0,0.0,0.855,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.678,0.0,0.0,0.0,0.0,0.0,0.678
|
20 |
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18,1.2137729179999042,0.0040946059999669,0.0018661049999764,openml__ecoli__145977,0.939,0.9864166666666668,0.940891675374434,0.473745157887242,1.2197336289998475,0.0031570047,0.5202862838666666,0.5174876858666667,0.727,0.933968254,0.722274469,0.808689146,1.0409309744333335,8,7,336,0.2119999999999999,73.0581343779998,30.157485255,0.444,0.607,0.0,0.0,0.0,0.416,1.121,0.0,0.0,0.528,0.0,0.0,0.0,0.0,0.0,0.785,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.778
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21,3.637687279,0.010283656,0.010784698,openml__har__14970,0.978,0.999670225,0.977649721,0.061473148,3.658755633,6.869466946,2.66944197,2.666020572,0.962,0.998168057,0.962103683,0.103501674,12.204929488,6,561,10299,0.016,302.2015474079996,370.311629352,0.15,0.099,0.0,0.0,0.0,0.088,0.084,0.0,0.0,0.1,1.905,0.164,0.222,0.154,0.165,1.905,1.883,0.151,0.118,0.17,0.136,0.121,0.11,0.0,0.0,0.0,0.0,0.0,0.0
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22,0.5060319539999997,0.0009211037999944,0.0007649834000064,openml__heart-c__48,0.839,0.9016806722689076,0.8387096774193548,0.3848725473147411,0.5077180412000005,0.0070161615,0.7472180953333333,0.5735516052333334,0.839,0.945378151,0.838709677,0.305099716,1.3277858620666665,2,13,303,0.0,20.763378017000058,39.833575862,0.257,0.305,0.0,0.0,0.0,0.384,0.399,0.366,0.336,0.463,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.268,0.334,0.0,0.0,0.0,0.0,0.266
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23,1.646659345,0.008067571,0.010838793,openml__higgs__146606,0.714,0.789788004,0.714227435,0.550702851,1.665565709,0.029005587,15.54555114,15.54479229,0.665,0.718481195,0.664558899,0.616013883,31.119349017,2,28,98050,0.0489999999999999,80.32815223099976,931.453607834,0.657,0.622,0.0,0.0,0.0,0.619,0.593,0.0,0.0,0.588,0.639,0.639,0.639,0.639,0.639,0.639,0.616,0.639,0.616,0.616,0.616,0.616,0.616,0.0,0.0,0.0,0.0,0.603,0.0
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24,1.4284999560000031,0.0019136319999972,0.0013436509999991,openml__kc1__3917,0.848,0.7827715355805244,0.8483412322274881,0.3705616047255672,1.4317572389999995,0.0039983374333333,2.802545583633333,2.804047886766667,0.848,0.8334497209999999,0.848341232,0.343851776,5.610591807833334,2,21,2109,0.0,48.68953584500001,168.444710009,1.036,0.387,0.0,0.0,0.0,0.357,0.392,0.0,0.0,0.371,0.35,0.35,0.35,0.35,0.35,0.35,0.35,0.35,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.339
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25,11.80475593,0.565833611,0.627260543,openml__poker-hand__9890,0.946,0.904151165,0.940036058,0.294163927,12.997850084,0.204482389,99.70247543,100.0869051,0.538,0.526817707,0.460420564,0.97826943,199.993862919,10,10,1025009,0.4079999999999999,5331.2158255689965,2422.621081536,0.929,0.582,0.0,0.0,0.0,0.011,0.002,0.0,0.0,0.023,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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26,22.8978285,0.044061628,0.041596603,openml__riccardo__168338,0.995,0.999322667,0.9945,0.067689156,22.983486731,41.65315646,2.850443753,2.859815671,0.955,0.994027333,0.9545,0.236307706,47.363415884,2,4296,20000,0.04,692.077559765,1395.120138703,0.277,0.115,0.0,0.0,0.0,0.055,0.048,0.0,0.0,0.047,0.595,0.314,0.226,0.34,0.25,0.595,0.629,0.448,0.252,0.129,0.352,0.144,0.375,0.0,0.0,0.0,0.0,0.0,0.0
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27,21.52100564,0.064050898,0.064181641,openml__robert__168332,0.455,0.863807251,0.45238274,1.550217812,21.649238179,82.24773821,2.572721582,2.570836216,0.246,0.732318267,0.219929961,2.035676521,87.391296008,10,7200,10000,0.209,598.6642134619999,963.968665696,1.892,1.874,0.0,0.0,0.0,2.103,2.218,0.0,0.0,2.819,2.319,1.854,2.034,2.092,1.85,2.319,2.343,1.948,1.785,1.998,2.074,1.779,1.884,0.0,0.0,0.0,0.0,0.0,0.0
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28,34.98679879200006,0.1007127519999357,0.0917363049999266,openml__volkert__168331,0.67,0.9236484636544132,0.6598869395543814,0.9568509029322412,35.17924784899992,3.614878545,5.87164821,5.867251964,0.569,0.861786603,0.511191627,1.237311835,15.353778719,10,180,58310,0.101,229.9278665180002,458.74335163,1.765,1.14,0.0,0.0,0.0,1.088,1.107,0.0,0.0,1.128,2.248,1.444,0.0,1.344,1.416,2.248,2.245,1.38,1.369,0.0,1.279,1.34,1.282,0.0,0.0,0.0,0.0,0.0,0.0
|
03_2024_tt_hard_main_plotting_data/main_plotting_data_TACE__test.csv
ADDED
@@ -0,0 +1,30 @@
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1 |
+
,time__train_x,time__val_x,time__test_x,dataset_name,CatBoost_Accuracy__test,CatBoost_AUC__test,CatBoost_F1__test,CatBoost_Log Loss__test,CatBoost__runtime,time__train_y,time__val_y,time__test_y,TabPFNs3000_Accuracy__test,TabPFNs3000_AUC__test,TabPFNs3000_F1__test,Log Loss__test,TabPFNs3000__runtime,Classes,Features,Samples,Delta,CatBoost__runtime_cumul,TabPFNs3000__runtime_cumul,_ft_TACE__test,_pt100_TACE__test,_pt100-pca_TACE__test,_pt100-prop_TACE__test,_pt100-rand_TACE__test,_pt100-uniform_bptt_128_TACE__test,_pt1000_TACE__test,_pt1000-10ens-randinit-avg-top2_TACE__test,_pt1000-10ens-randinit-avg-top2-unif_bptt_128_TACE__test,_pt1000-uniform_bptt_128_TACE__test,_zs-32_TACE__test,_zs-ica-32_ica_TACE__test,_zs-isomap-32_isomap_TACE__test,_zs-mutual_information-32_mutual_information_TACE__test,_zs-pca_white-32_pca_white_TACE__test,_zs-random-32_random_TACE__test,_zs-random-32_rdq_3000_random_TACE__test,_zs-sparse_random_projection-32_sparse_random_projection_TACE__test,_zs-ica-32_rdq_3000_ica_TACE__test,_zs-isomap-32_rdq_3000_isomap_TACE__test,_zs-mutual_information-32_rdq_3000_mutual_information_TACE__test,_zs-pca_white-32_rdq_3000_pca_white_TACE__test,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection_TACE__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128_TACE__test,_zs-random-32_bptt_128_random_TACE__test,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128_TACE__test,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128_TACE__test,_pt10-5ens-randinit-avg-top1-highlr-longep_TACE__test,TuneTables_TACE__test
|
2 |
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0,5.470622146000058,0.3081685930000711,0.2697746459999158,openml__Agrawal1__146093,0.95,0.9922524338093052,0.95028,0.1015905347595692,6.048565385000045,0.0257159914999999,216.10440818333333,216.100852075,0.946,0.991382224,0.94613,0.118412576,432.23097624983336,2,9,1000000,0.004,142.21880345900058,5158.457872427,1.566,2.24,2.237,2.035,2.237,0.012,0.014,0.014,0.01,0.014,0.038,0.038,0.038,0.038,0.038,0.038,0.031,0.038,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.013
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3,7.746180762999984,0.024661285,0.039857836,openml__Bioresponse__9910,0.803,0.8785657007692176,0.8026666668333333,0.4413562428209103,7.810699883999984,15.97173061,2.510121327,2.535230565,0.819,0.885324779,0.818666667,0.426594963,21.017082502,2,1776,3751,-0.0159999999999999,112.8807289969997,637.6825195179999,0.099,0.101,0.0,0.0,0.0,0.096,0.104,0.095,0.103,0.098,0.126,0.097,0.121,0.077,0.092,0.126,0.14,0.091,0.089,0.115,0.087,0.086,0.087,0.0,0.0,0.0,0.0,0.0,
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|
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6,32.9199185,1.065179694,1.028028079,openml__albert__189356,0.702,0.772683423,0.701650832,0.570533593,35.013126273000005,0.290836405,61.83054206,61.85995655,0.637,0.686704832,0.637146082,0.642012404,123.981335015,2,78,425240,0.0649999999999999,1077.832535778998,2363.26732168,0.364,1.709,0.0,0.0,0.0,0.037,1.682,0.042,0.038,0.036,0.018,0.018,0.018,0.018,0.018,0.018,0.012,0.018,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.038
|
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7,2.0969730230000003,0.004232093,0.0037586944999999,openml__balance-scale__11,0.871,0.9269704435,0.8766434679999999,0.315155614,2.1049638105000006,0.0034269484611111,0.4837116587,0.4804506585166667,0.984,0.9986590038333332,0.9841059798333334,0.0376524361666666,0.9675892656777778,3,4,625,-0.1129999999999999,52.77163177800003,28.858380775,0.218,0.158,0.0,0.0,0.0,0.136,0.175,0.19,0.131,0.148,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.048,0.137,0.0,0.0,0.0,0.0,
|
10 |
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8,0.5243480059999968,0.0024975609999984,0.001858184999989,openml__blood-transfusion-service-center__10101,0.76,0.6837231968810916,0.76,0.529753857894844,0.5287037519999842,0.0027001020666666,0.4111778751166666,0.40855609365,0.8,0.7422027290000001,0.8,0.483310191,0.8224340708333333,2,4,748,-0.04,24.005330601000004,24.85534249,0.192,0.213,0.0,0.0,0.0,0.203,0.198,0.179,0.208,0.182,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.188,0.0,0.0,0.0,0.0,0.0,
|
11 |
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9,0.683357049,0.002083907,0.003628377,openml__breast-cancer__145799,0.724,0.572222222,0.724137931,0.623271668,0.6890693330000001,0.0036480464,0.4910725950333333,0.4890001832666666,0.724,0.683333333,0.724137931,0.607275837,0.9837208247,2,9,286,0.0,36.98268649699998,28.809067924,0.247,0.278,0.0,0.0,0.0,0.326,0.316,0.332,0.305,0.343,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.322,0.0,0.0,0.0,0.0,
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12 |
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10,7.534317677,0.122488907,0.088211616,openml__christine__168908,0.747,0.805789682,0.747232472,0.53843966,7.7450182,17.26202825,2.645428466,2.649614014,0.718,0.803461282,0.717712177,0.54356054,22.55707073,2,1636,5418,0.029,331.16304046499994,665.780805546,2.282,2.05,0.0,0.0,0.0,0.072,1.83,0.112,0.075,0.083,0.237,0.086,0.094,0.079,0.079,0.237,0.326,0.096,0.081,0.086,0.07,0.085,0.099,0.0,0.0,0.0,0.0,0.0,
|
13 |
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11,0.7101826414666675,0.0030368920666662,0.0019932594666681,openml__climate-model-simulation-crashes__146819,0.931,0.9199591836734694,0.9308641975308642,0.1817228586090829,0.715212793000002,0.0031530145666666,0.9628938471333334,0.9609364159,0.963,0.995918367,0.962962963,0.095938911,1.9269832776,2,18,540,-0.0319999999999999,24.90149524999991,58.653850509,0.138,0.148,0.0,0.0,0.0,0.154,0.117,0.15,0.119,0.172,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.121,0.0,0.0,0.0,0.0,0.0,
|
14 |
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16 |
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17 |
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18 |
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16,12.705649266000364,0.0253858694999999,0.0240511625,openml__dilbert__168909,0.962,0.9980737767306512,0.9620142602004532,0.1891437944932896,12.755086298000364,20.24626359,2.63832077,2.643935549,0.926,0.994870308,0.926028549,0.207929398,25.528519909000003,5,2000,10000,0.0359999999999999,808.7302073720009,761.177292713,0.057,0.037,1.363,1.152,0.822,0.022,0.076,0.024,0.014,0.051,0.124,0.073,0.078,0.063,0.07,0.124,0.124,0.072,0.073,0.068,0.058,0.071,0.071,0.0,0.0,0.0,0.0,0.0,0.014
|
19 |
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17,1.0613462890000278,0.002148983,0.001866037,openml__dresses-sales__125920,0.54,0.5336617407791462,0.54,0.7372118008245981,1.065361309000028,0.0047379718999999,0.6776733982333333,0.6741126546333334,0.6,0.518883415,0.6,0.680896459,1.3565240247666668,2,12,500,-0.0599999999999999,40.14926567900007,40.88002789,0.361,0.344,0.0,0.0,0.0,0.287,0.326,0.0,0.0,0.334,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.326,0.0,0.0,0.0,0.0,0.0,
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20 |
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20,2.5907953109999937,0.0022141070000145,0.0031435010000109,openml__elevators__3711,0.892,0.9422155602121648,0.891566265060241,0.2676982953037469,2.596152919000019,0.011595818,3.048263756,3.024166882,0.895,0.954868281,0.895180723,0.235062224,6.084026456,2,18,16599,-0.003,175.79024307999993,186.239942431,0.038,0.041,0.0,0.0,0.0,0.042,0.038,0.043,0.04,0.056,0.038,0.038,0.038,0.038,0.038,0.038,0.043,0.038,0.043,0.043,0.043,0.043,0.043,0.0,0.0,0.0,0.0,0.0,0.044
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21,3.637687279,0.010283656,0.010784698,openml__har__14970,0.978,0.999670225,0.977649721,0.061473148,3.658755633,6.869466946,2.66944197,2.666020572,0.962,0.998168057,0.962103683,0.103501674,12.204929488,6,561,10299,0.016,302.2015474079996,370.311629352,0.046,0.038,0.0,0.0,0.0,0.023,0.03,0.025,0.0,0.025,0.206,0.061,0.069,0.045,0.058,0.206,0.193,0.047,0.046,0.055,0.044,0.044,0.037,0.0,0.0,0.0,0.0,0.0,0.025
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22,0.5060319539999997,0.0009211037999944,0.0007649834000064,openml__heart-c__48,0.839,0.9016806722689076,0.8387096774193548,0.3848725473147411,0.5077180412000005,0.0070161615,0.7472180953333333,0.5735516052333334,0.839,0.945378151,0.838709677,0.305099716,1.3277858620666665,2,13,303,0.0,20.763378017000058,39.833575862,0.211,0.167,0.0,0.0,0.0,0.234,0.204,0.208,0.208,0.172,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.213,0.196,0.0,0.0,0.0,0.0,
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23,1.646659345,0.008067571,0.010838793,openml__higgs__146606,0.714,0.789788004,0.714227435,0.550702851,1.665565709,0.029005587,15.54555114,15.54479229,0.665,0.718481195,0.664558899,0.616013883,31.119349017,2,28,98050,0.0489999999999999,80.32815223099976,931.453607834,1.404,1.716,0.0,0.0,0.0,0.084,0.062,0.07,0.043,0.055,0.03,0.03,0.03,0.03,0.03,0.03,0.026,0.03,0.026,0.026,0.026,0.026,0.026,0.0,0.0,0.0,0.0,0.038,0.043
|
26 |
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24,1.4284999560000031,0.0019136319999972,0.0013436509999991,openml__kc1__3917,0.848,0.7827715355805244,0.8483412322274881,0.3705616047255672,1.4317572389999995,0.0039983374333333,2.802545583633333,2.804047886766667,0.848,0.8334497209999999,0.848341232,0.343851776,5.610591807833334,2,21,2109,0.0,48.68953584500001,168.444710009,0.087,0.106,0.0,0.0,0.0,0.092,0.104,0.0,0.0,0.087,0.102,0.102,0.102,0.102,0.102,0.102,0.101,0.102,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
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27 |
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25,11.80475593,0.565833611,0.627260543,openml__poker-hand__9890,0.946,0.904151165,0.940036058,0.294163927,12.997850084,0.204482389,99.70247543,100.0869051,0.538,0.526817707,0.460420564,0.97826943,199.993862919,10,10,1025009,0.4079999999999999,5331.2158255689965,2422.621081536,0.951,0.038,0.0,0.0,0.0,0.024,0.014,0.031,0.061,0.045,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.044
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28 |
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26,22.8978285,0.044061628,0.041596603,openml__riccardo__168338,0.995,0.999322667,0.9945,0.067689156,22.983486731,41.65315646,2.850443753,2.859815671,0.955,0.994027333,0.9545,0.236307706,47.363415884,2,4296,20000,0.04,692.077559765,1395.120138703,0.091,0.034,0.0,0.0,0.0,0.023,0.02,0.012,0.0,0.017,0.08,0.136,0.044,0.152,0.071,0.08,0.116,0.215,0.152,0.039,0.22,0.073,0.232,0.0,0.0,0.0,0.0,0.0,0.012
|
29 |
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27,21.52100564,0.064050898,0.064181641,openml__robert__168332,0.455,0.863807251,0.45238274,1.550217812,21.649238179,82.24773821,2.572721582,2.570836216,0.246,0.732318267,0.219929961,2.035676521,87.391296008,10,7200,10000,0.209,598.6642134619999,963.968665696,0.046,0.062,0.0,0.0,0.0,0.111,0.114,0.089,0.101,0.16,0.052,0.049,0.042,0.046,0.051,0.052,0.049,0.049,0.054,0.045,0.043,0.053,0.048,0.0,0.0,0.0,0.0,0.0,0.08
|
30 |
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28,34.98679879200006,0.1007127519999357,0.0917363049999266,openml__volkert__168331,0.67,0.9236484636544132,0.6598869395543814,0.9568509029322412,35.17924784899992,3.614878545,5.87164821,5.867251964,0.569,0.861786603,0.511191627,1.237311835,15.353778719,10,180,58310,0.101,229.9278665180002,458.74335163,0.408,0.044,0.0,0.0,0.0,0.068,0.06,0.064,0.088,0.064,0.058,0.036,0.0,0.03,0.038,0.058,0.052,0.036,0.04,0.0,0.032,0.04,0.036,0.0,0.0,0.0,0.0,0.0,0.064
|
03_2024_tt_hard_main_plotting_data/main_plotting_data__runtime.csv
ADDED
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1 |
+
,time__train_x,time__val_x,time__test_x,dataset_name,CatBoost_Accuracy__test,CatBoost_AUC__test,CatBoost_F1__test,CatBoost_Log Loss__test,CatBoost__runtime,time__train_y,time__val_y,time__test_y,TabPFNs3000_Accuracy__test,TabPFNs3000_AUC__test,TabPFNs3000_F1__test,Log Loss__test,TabPFNs3000__runtime,Classes,Features,Samples,Delta,CatBoost__runtime_cumul,TabPFNs3000__runtime_cumul,_ft__runtime,_pt100__runtime,_pt100-pca__runtime,_pt100-prop__runtime,_pt100-rand__runtime,_pt100-uniform_bptt_128__runtime,_pt1000__runtime,_pt1000-10ens-randinit-avg-top2__runtime,_pt1000-10ens-randinit-avg-top2-unif_bptt_128__runtime,_pt1000-uniform_bptt_128__runtime,_zs-32__runtime,_zs-ica-32_ica__runtime,_zs-isomap-32_isomap__runtime,_zs-mutual_information-32_mutual_information__runtime,_zs-pca_white-32_pca_white__runtime,_zs-random-32_random__runtime,_zs-random-32_rdq_3000_random__runtime,_zs-sparse_random_projection-32_sparse_random_projection__runtime,_zs-ica-32_rdq_3000_ica__runtime,_zs-isomap-32_rdq_3000_isomap__runtime,_zs-mutual_information-32_rdq_3000_mutual_information__runtime,_zs-pca_white-32_rdq_3000_pca_white__runtime,_zs-sparse_random_projection-32_rdq_3000_sparse_random_projection__runtime,_pt1000-10ens-randinit-avg-top1-unif-stopearly-mutinf_bptt_128__runtime,_zs-random-32_bptt_128_random__runtime,_pt1000-10ens-randinit-avg-top1-unif-stopearly_bptt_128__runtime,_pt1000-10ens-randinit-avg-top2-unif-stopearly_bptt_128__runtime,_pt10-5ens-randinit-avg-top1-highlr-longep__runtime,TuneTables__runtime
|
2 |
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0,5.470622146000058,0.3081685930000711,0.2697746459999158,openml__Agrawal1__146093,0.95,0.9922524338093052,0.95028,0.1015905347595692,6.048565385000045,0.0257159914999999,216.10440818333333,216.100852075,0.946,0.991382224,0.94613,0.118412576,432.23097624983336,2,9,1000000,0.004,142.21880345900058,5158.457872427,576.867,2094.731,2155.172,1557.475,2175.196,1795.344,3232.792,6741.296,8046.395,5126.982,84.26,84.644,84.494,84.567,84.55,84.612,141.563,84.593,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9849.683
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|
4 |
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|
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|
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|
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5,7.002171533999899,0.1658183260000214,0.1667769039999029,openml__airlines__189354,0.664,0.715663080898347,0.6638424887372772,0.6102318729770216,7.334766763999823,0.107881647,46.35491462,46.32232302,0.602,0.627776793,0.601505432,0.662776883,92.785119287,2,7,539383,0.062,154.94846123799965,2601.905862934,202.124,1773.923,0.0,0.0,0.0,4024.653,1725.716,17506.9,22205.979,2737.166,46.682,46.84,46.854,46.879,46.804,46.855,72.368,46.817,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22205.979
|
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6,32.9199185,1.065179694,1.028028079,openml__albert__189356,0.702,0.772683423,0.701650832,0.570533593,35.013126273000005,0.290836405,61.83054206,61.85995655,0.637,0.686704832,0.637146082,0.642012404,123.981335015,2,78,425240,0.0649999999999999,1077.832535778998,2363.26732168,175.596,1138.513,0.0,0.0,0.0,850.498,1263.363,4829.524,8319.993,1697.752,74.222,75.127,75.037,75.056,76.133,74.918,99.418,74.864,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8319.993
|
9 |
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7,2.0969730230000003,0.004232093,0.0037586944999999,openml__balance-scale__11,0.871,0.9269704435,0.8766434679999999,0.315155614,2.1049638105000006,0.0034269484611111,0.4837116587,0.4804506585166667,0.984,0.9986590038333332,0.9841059798333334,0.0376524361666666,0.9675892656777778,3,4,625,-0.1129999999999999,52.77163177800003,28.858380775,16.475,20.323,0.0,0.0,0.0,21.509,19.687,49.167,32.086,22.667,15.06,15.117,15.108,15.103,15.104,18.391,15.163,15.091,15.178,15.123,15.211,15.167,15.197,33.493,0.0,0.0,0.0,0.0,1.091
|
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|
05_2024_tabzilla_main_plotting_data/core_results_top_algs_acc_only.csv
ADDED
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|
1 |
+
dataset_name,alg_name,Accuracy__test,_runtime
|
2 |
+
openml__acute-inflammations__10089,CatBoost,1,
|
3 |
+
openml__acute-inflammations__10089,TabPFNs3000,1,0.588
|
4 |
+
openml__acute-inflammations__10089,XGBoost,1,
|
5 |
+
openml__acute-inflammations__10089,TuneTables,1,29.049
|
6 |
+
openml__ada_agnostic__3896,CatBoost,0.85,
|
7 |
+
openml__ada_agnostic__3896,TabPFNs3000,0.848,7.432
|
8 |
+
openml__ada_agnostic__3896,XGBoost,0.848,
|
9 |
+
openml__ada_agnostic__3896,TuneTables,0.84,317.544
|
10 |
+
openml__adult__7592,CatBoost,0.873,
|
11 |
+
openml__adult__7592,TabPFNs3000,0.848,12.499
|
12 |
+
openml__adult__7592,XGBoost,0.875,
|
13 |
+
openml__adult__7592,TuneTables,0.851,1466.192
|
14 |
+
openml__adult-census__3953,CatBoost,0.87,
|
15 |
+
openml__adult-census__3953,TabPFNs3000,0.845,11.877
|
16 |
+
openml__adult-census__3953,XGBoost,0.87,
|
17 |
+
openml__adult-census__3953,TuneTables,0.85,1148.228
|
18 |
+
openml__Agrawal1__146093,CatBoost,0.951,
|
19 |
+
openml__Agrawal1__146093,TabPFNs3000,0.948,431.949
|
20 |
+
openml__Agrawal1__146093,XGBoost,0.952,
|
21 |
+
openml__Agrawal1__146093,TuneTables,0.95,
|
22 |
+
openml__airlines__189354,CatBoost,0.664,
|
23 |
+
openml__airlines__189354,TabPFNs3000,0.603,93.602
|
24 |
+
openml__airlines__189354,XGBoost,0.673,
|
25 |
+
openml__airlines__189354,TuneTables,0.653,
|
26 |
+
openml__albert__189356,CatBoost,0.706,
|
27 |
+
openml__albert__189356,TabPFNs3000,0.643,123.502
|
28 |
+
openml__albert__189356,XGBoost,0.69,
|
29 |
+
openml__albert__189356,TuneTables,0.658,
|
30 |
+
openml__Amazon_employee_access__34539,CatBoost,0.946,
|
31 |
+
openml__Amazon_employee_access__34539,TabPFNs3000,0.942,11.021
|
32 |
+
openml__Amazon_employee_access__34539,XGBoost,0.946,
|
33 |
+
openml__Amazon_employee_access__34539,TuneTables,0.942,672.954
|
34 |
+
openml__analcatdata_authorship__3549,CatBoost,0.976,
|
35 |
+
openml__analcatdata_authorship__3549,TabPFNs3000,0.996,3.018
|
36 |
+
openml__analcatdata_authorship__3549,XGBoost,0.977,
|
37 |
+
openml__analcatdata_authorship__3549,TuneTables,0.996,31.977
|
38 |
+
openml__analcatdata_boxing1__3540,CatBoost,0.8,
|
39 |
+
openml__analcatdata_boxing1__3540,TabPFNs3000,0.611,0.442
|
40 |
+
openml__analcatdata_boxing1__3540,XGBoost,0.784,
|
41 |
+
openml__analcatdata_boxing1__3540,TuneTables,0.667,85.971
|
42 |
+
openml__analcatdata_chlamydia__3739,CatBoost,0.888,
|
43 |
+
openml__analcatdata_chlamydia__3739,TabPFNs3000,0.833,0.431
|
44 |
+
openml__analcatdata_chlamydia__3739,XGBoost,0.869,
|
45 |
+
openml__analcatdata_chlamydia__3739,TuneTables,0.833,32.071
|
46 |
+
openml__analcatdata_dmft__3560,CatBoost,0.217,
|
47 |
+
openml__analcatdata_dmft__3560,TabPFNs3000,0.233,1.469
|
48 |
+
openml__analcatdata_dmft__3560,XGBoost,0.208,
|
49 |
+
openml__analcatdata_dmft__3560,TuneTables,0.2,49.283
|
50 |
+
openml__anneal__2867,CatBoost,0.975,
|
51 |
+
openml__anneal__2867,TabPFNs3000,0.978,3.673
|
52 |
+
openml__anneal__2867,XGBoost,0.988,
|
53 |
+
openml__anneal__2867,TuneTables,0.978,29.18
|
54 |
+
openml__APSFailure__168868,CatBoost,0.993,
|
55 |
+
openml__APSFailure__168868,TabPFNs3000,0.989,19.163
|
56 |
+
openml__APSFailure__168868,XGBoost,0.994,
|
57 |
+
openml__APSFailure__168868,TuneTables,0.992,6069.662
|
58 |
+
openml__arrhythmia__5,CatBoost,0.717,
|
59 |
+
openml__arrhythmia__5,XGBoost,0.747,
|
60 |
+
openml__arrhythmia__5,TuneTables,0.628,466.426
|
61 |
+
openml__artificial-characters__14964,CatBoost,0.863,
|
62 |
+
openml__artificial-characters__14964,TabPFNs3000,0.65,4.907
|
63 |
+
openml__artificial-characters__14964,XGBoost,0.955,
|
64 |
+
openml__artificial-characters__14964,TuneTables,0.709,1080.493
|
65 |
+
openml__Australian__146818,CatBoost,0.858,
|
66 |
+
openml__Australian__146818,TabPFNs3000,0.87,2.194
|
67 |
+
openml__Australian__146818,XGBoost,0.845,
|
68 |
+
openml__Australian__146818,TuneTables,0.86,79.029
|
69 |
+
openml__autos__9,CatBoost,0.831,
|
70 |
+
openml__autos__9,TabPFNs3000,0.81,0.39
|
71 |
+
openml__autos__9,XGBoost,0.863,
|
72 |
+
openml__autos__9,TuneTables,0.825,29.444
|
73 |
+
openml__balance-scale__11,CatBoost,0.9,
|
74 |
+
openml__balance-scale__11,TabPFNs3000,0.995,1.091
|
75 |
+
openml__balance-scale__11,XGBoost,0.894,
|
76 |
+
openml__balance-scale__11,TuneTables,0.995,
|
77 |
+
openml__bank-marketing__14965,CatBoost,0.908,
|
78 |
+
openml__bank-marketing__14965,TabPFNs3000,0.893,12.608
|
79 |
+
openml__bank-marketing__14965,XGBoost,0.909,
|
80 |
+
openml__bank-marketing__14965,TuneTables,0.901,1540.299
|
81 |
+
openml__banknote-authentication__10093,CatBoost,0.992,
|
82 |
+
openml__banknote-authentication__10093,TabPFNs3000,1,1.419
|
83 |
+
openml__banknote-authentication__10093,XGBoost,0.993,
|
84 |
+
openml__banknote-authentication__10093,TuneTables,1,30.175
|
85 |
+
openml__Bioresponse__9910,CatBoost,0.79,
|
86 |
+
openml__Bioresponse__9910,TabPFNs3000,0.798,21.229
|
87 |
+
openml__Bioresponse__9910,XGBoost,0.8,
|
88 |
+
openml__Bioresponse__9910,TuneTables,0.798,
|
89 |
+
openml__blood-transfusion-service-center__10101,CatBoost,0.766,
|
90 |
+
openml__blood-transfusion-service-center__10101,TabPFNs3000,0.782,0.81
|
91 |
+
openml__blood-transfusion-service-center__10101,XGBoost,0.754,
|
92 |
+
openml__blood-transfusion-service-center__10101,TuneTables,0.782,
|
93 |
+
openml__BNG(labor)__2137,CatBoost,0.971,
|
94 |
+
openml__BNG(labor)__2137,TabPFNs3000,0.937,459.851
|
95 |
+
openml__BNG(labor)__2137,XGBoost,0.97,
|
96 |
+
openml__BNG(labor)__2137,TuneTables,0.967,
|
97 |
+
openml__BNG(vote)__212,CatBoost,0.975,
|
98 |
+
openml__BNG(vote)__212,TabPFNs3000,0.969,65.289
|
99 |
+
openml__BNG(vote)__212,XGBoost,0.975,
|
100 |
+
openml__BNG(vote)__212,TuneTables,0.974,
|
101 |
+
openml__breast-cancer__145799,CatBoost,0.718,
|
102 |
+
openml__breast-cancer__145799,TabPFNs3000,0.77,0.692
|
103 |
+
openml__breast-cancer__145799,XGBoost,0.718,
|
104 |
+
openml__breast-cancer__145799,TuneTables,0.77,
|
105 |
+
openml__breast-w__15,CatBoost,0.975,
|
106 |
+
openml__breast-w__15,TabPFNs3000,0.976,1.863
|
107 |
+
openml__breast-w__15,XGBoost,0.969,
|
108 |
+
openml__breast-w__15,TuneTables,0.981,38.562
|
109 |
+
openml__car__146821,CatBoost,0.955,
|
110 |
+
openml__car__146821,TabPFNs3000,0.967,3.433
|
111 |
+
openml__car__146821,XGBoost,0.993,
|
112 |
+
openml__car__146821,TuneTables,0.963,34.059
|
113 |
+
openml__car-evaluation__146192,CatBoost,0.997,
|
114 |
+
openml__car-evaluation__146192,TabPFNs3000,0.985,5.197
|
115 |
+
openml__car-evaluation__146192,XGBoost,0.998,
|
116 |
+
openml__car-evaluation__146192,TuneTables,0.983,34.252
|
117 |
+
openml__cardiotocography__9979,CatBoost,1,
|
118 |
+
openml__cardiotocography__9979,TabPFNs3000,1,6.373
|
119 |
+
openml__cardiotocography__9979,XGBoost,1,
|
120 |
+
openml__cardiotocography__9979,TuneTables,1,31.171
|
121 |
+
openml__Census-Income__168340,CatBoost,0.958,
|
122 |
+
openml__Census-Income__168340,TabPFNs3000,0.948,79.577
|
123 |
+
openml__Census-Income__168340,XGBoost,0.958,
|
124 |
+
openml__Census-Income__168340,TuneTables,0.947,610.366
|
125 |
+
openml__chess__3952,CatBoost,0.65,
|
126 |
+
openml__chess__3952,XGBoost,0.927,
|
127 |
+
openml__chess__3952,TuneTables,0.853,3147.075
|
128 |
+
openml__christine__168908,CatBoost,0.736,
|
129 |
+
openml__christine__168908,TabPFNs3000,0.755,22.221
|
130 |
+
openml__christine__168908,XGBoost,0.747,
|
131 |
+
openml__christine__168908,TuneTables,0.755,
|
132 |
+
openml__churn__167141,CatBoost,0.958,
|
133 |
+
openml__churn__167141,TabPFNs3000,0.935,6.311
|
134 |
+
openml__churn__167141,XGBoost,0.956,
|
135 |
+
openml__churn__167141,TuneTables,0.932,286.414
|
136 |
+
openml__cjs__14967,CatBoost,1,
|
137 |
+
openml__cjs__14967,TabPFNs3000,0.51,6.407
|
138 |
+
openml__cjs__14967,XGBoost,0.999,
|
139 |
+
openml__cjs__14967,TuneTables,0.485,30.527
|
140 |
+
openml__Click_prediction_small__190408,CatBoost,0.839,
|
141 |
+
openml__Click_prediction_small__190408,TabPFNs3000,0.832,11.074
|
142 |
+
openml__Click_prediction_small__190408,XGBoost,0.837,
|
143 |
+
openml__Click_prediction_small__190408,TuneTables,0.832,686.98
|
144 |
+
openml__Click_prediction_small__7294,CatBoost,0.842,
|
145 |
+
openml__Click_prediction_small__7294,TabPFNs3000,0.833,416.729
|
146 |
+
openml__Click_prediction_small__7294,XGBoost,0.843,
|
147 |
+
openml__Click_prediction_small__7294,TuneTables,0.837,
|
148 |
+
openml__climate-model-simulation-crashes__146819,CatBoost,0.949,
|
149 |
+
openml__climate-model-simulation-crashes__146819,TabPFNs3000,0.951,1.93
|
150 |
+
openml__climate-model-simulation-crashes__146819,XGBoost,0.923,
|
151 |
+
openml__climate-model-simulation-crashes__146819,TuneTables,0.951,
|
152 |
+
openml__cmc__23,CatBoost,0.561,
|
153 |
+
openml__cmc__23,TabPFNs3000,0.529,3.207
|
154 |
+
openml__cmc__23,XGBoost,0.552,
|
155 |
+
openml__cmc__23,TuneTables,0.556,
|
156 |
+
openml__cnae-9__9981,CatBoost,0.939,
|
157 |
+
openml__cnae-9__9981,TabPFNs3000,0.877,9.616
|
158 |
+
openml__cnae-9__9981,XGBoost,0.906,
|
159 |
+
openml__cnae-9__9981,TuneTables,0.92,36.502
|
160 |
+
openml__colic__25,CatBoost,0.91,
|
161 |
+
openml__colic__25,TabPFNs3000,0.847,1.012
|
162 |
+
openml__colic__25,XGBoost,0.862,
|
163 |
+
openml__colic__25,TuneTables,0.793,39.173
|
164 |
+
openml__colic__27,CatBoost,0.878,
|
165 |
+
openml__colic__27,TabPFNs3000,0.892,0.969
|
166 |
+
openml__colic__27,XGBoost,0.88,
|
167 |
+
openml__colic__27,TuneTables,0.892,
|
168 |
+
openml__collins__3567,CatBoost,1,
|
169 |
+
openml__collins__3567,XGBoost,0.999,
|
170 |
+
openml__collins__3567,TuneTables,0.607,206.663
|
171 |
+
openml__connect-4__146195,CatBoost,0.807,
|
172 |
+
openml__connect-4__146195,TabPFNs3000,0.668,23.236
|
173 |
+
openml__connect-4__146195,XGBoost,0.855,
|
174 |
+
openml__connect-4__146195,TuneTables,0.817,
|
175 |
+
openml__covertype__7593,TabPFNs3000,0.753,158.559
|
176 |
+
openml__covertype__7593,TuneTables,0.964,8492.378
|
177 |
+
openml__credit-approval__29,CatBoost,0.888,
|
178 |
+
openml__credit-approval__29,TabPFNs3000,0.889,2.416
|
179 |
+
openml__credit-approval__29,XGBoost,0.865,
|
180 |
+
openml__credit-approval__29,TuneTables,0.889,33.926
|
181 |
+
openml__credit-g__31,CatBoost,0.746,
|
182 |
+
openml__credit-g__31,TabPFNs3000,0.727,2.981
|
183 |
+
openml__credit-g__31,XGBoost,0.758,
|
184 |
+
openml__credit-g__31,TuneTables,0.727,33.621
|
185 |
+
openml__cylinder-bands__14954,CatBoost,0.831,
|
186 |
+
openml__cylinder-bands__14954,TabPFNs3000,0.846,1.031
|
187 |
+
openml__cylinder-bands__14954,XGBoost,0.848,
|
188 |
+
openml__cylinder-bands__14954,TuneTables,0.846,
|
189 |
+
openml__dermatology__35,CatBoost,0.968,
|
190 |
+
openml__dermatology__35,TabPFNs3000,0.982,1.123
|
191 |
+
openml__dermatology__35,XGBoost,0.98,
|
192 |
+
openml__dermatology__35,TuneTables,0.973,71.849
|
193 |
+
openml__Devnagari-Script__167121,XGBoost,0.906,
|
194 |
+
openml__Devnagari-Script__167121,TuneTables,0.901,12989.354
|
195 |
+
openml__diabetes__37,CatBoost,0.774,
|
196 |
+
openml__diabetes__37,TabPFNs3000,0.758,1.664
|
197 |
+
openml__diabetes__37,XGBoost,0.768,
|
198 |
+
openml__diabetes__37,TuneTables,0.736,69.927
|
199 |
+
openml__dilbert__168909,CatBoost,0.949,
|
200 |
+
openml__dilbert__168909,TabPFNs3000,0.913,25.247
|
201 |
+
openml__dilbert__168909,XGBoost,0.979,
|
202 |
+
openml__dilbert__168909,TuneTables,0.992,
|
203 |
+
openml__dna__167140,CatBoost,0.964,
|
204 |
+
openml__dna__167140,TabPFNs3000,0.971,7.479
|
205 |
+
openml__dna__167140,XGBoost,0.96,
|
206 |
+
openml__dna__167140,TuneTables,0.952,1055.588
|
207 |
+
openml__dresses-sales__125920,CatBoost,0.66,
|
208 |
+
openml__dresses-sales__125920,TabPFNs3000,0.58,1.354
|
209 |
+
openml__dresses-sales__125920,XGBoost,0.652,
|
210 |
+
openml__dresses-sales__125920,TuneTables,0.58,
|
211 |
+
openml__ecoli__145977,CatBoost,0.912,
|
212 |
+
openml__ecoli__145977,TabPFNs3000,0.843,0.724
|
213 |
+
openml__ecoli__145977,XGBoost,0.842,
|
214 |
+
openml__ecoli__145977,TuneTables,0.843,
|
215 |
+
openml__eeg-eye-state__14951,CatBoost,0.907,
|
216 |
+
openml__eeg-eye-state__14951,TabPFNs3000,0.943,5.853
|
217 |
+
openml__eeg-eye-state__14951,XGBoost,0.944,
|
218 |
+
openml__eeg-eye-state__14951,TuneTables,0.986,
|
219 |
+
openml__electricity__219,CatBoost,0.856,
|
220 |
+
openml__electricity__219,TabPFNs3000,0.798,10.636
|
221 |
+
openml__electricity__219,XGBoost,0.931,
|
222 |
+
openml__electricity__219,TuneTables,0.851,3452.496
|
223 |
+
openml__elevators__3711,CatBoost,0.891,
|
224 |
+
openml__elevators__3711,TabPFNs3000,0.902,6.177
|
225 |
+
openml__elevators__3711,XGBoost,0.896,
|
226 |
+
openml__elevators__3711,TuneTables,0.902,
|
227 |
+
openml__eucalyptus__2079,CatBoost,0.709,
|
228 |
+
openml__eucalyptus__2079,TabPFNs3000,0.721,2.791
|
229 |
+
openml__eucalyptus__2079,XGBoost,0.666,
|
230 |
+
openml__eucalyptus__2079,TuneTables,0.725,28.922
|
231 |
+
openml__eye_movements__3897,CatBoost,0.67,
|
232 |
+
openml__eye_movements__3897,TabPFNs3000,0.564,7.267
|
233 |
+
openml__eye_movements__3897,XGBoost,0.743,
|
234 |
+
openml__eye_movements__3897,TuneTables,0.617,1037.793
|
235 |
+
openml__fabert__168910,CatBoost,0.676,
|
236 |
+
openml__fabert__168910,TabPFNs3000,0.463,14.167
|
237 |
+
openml__fabert__168910,XGBoost,0.722,
|
238 |
+
openml__fabert__168910,TuneTables,0.572,1481.492
|
239 |
+
openml__fertility__9984,CatBoost,0.894,
|
240 |
+
openml__fertility__9984,TabPFNs3000,0.9,0.592
|
241 |
+
openml__fertility__9984,XGBoost,0.762,
|
242 |
+
openml__fertility__9984,TuneTables,0.9,28.388
|
243 |
+
openml__first-order-theorem-proving__9985,CatBoost,0.584,
|
244 |
+
openml__first-order-theorem-proving__9985,TabPFNs3000,0.583,7.402
|
245 |
+
openml__first-order-theorem-proving__9985,XGBoost,0.629,
|
246 |
+
openml__first-order-theorem-proving__9985,TuneTables,0.578,449.257
|
247 |
+
openml__fl2000__3566,CatBoost,0.802,
|
248 |
+
openml__fl2000__3566,TabPFNs3000,0.905,0.487
|
249 |
+
openml__fl2000__3566,XGBoost,0.788,
|
250 |
+
openml__fl2000__3566,TuneTables,0.809,28.519
|
251 |
+
openml__fri_c0_100_5__3620,CatBoost,0.813,
|
252 |
+
openml__fri_c0_100_5__3620,TabPFNs3000,0.867,0.58
|
253 |
+
openml__fri_c0_100_5__3620,XGBoost,0.832,
|
254 |
+
openml__fri_c0_100_5__3620,TuneTables,0.9,32.631
|
255 |
+
openml__fri_c3_100_5__3779,CatBoost,0.747,
|
256 |
+
openml__fri_c3_100_5__3779,TabPFNs3000,0.833,0.649
|
257 |
+
openml__fri_c3_100_5__3779,XGBoost,0.65,
|
258 |
+
openml__fri_c3_100_5__3779,TuneTables,0.8,27.964
|
259 |
+
openml__gas-drift__9986,CatBoost,0.994,
|
260 |
+
openml__gas-drift__9986,TabPFNs3000,0.993,8.108
|
261 |
+
openml__gas-drift__9986,XGBoost,0.995,
|
262 |
+
openml__gas-drift__9986,TuneTables,0.995,2785.351
|
263 |
+
openml__gas-drift-different-concentrations__9987,CatBoost,0.995,
|
264 |
+
openml__gas-drift-different-concentrations__9987,TabPFNs3000,0.995,8.06
|
265 |
+
openml__gas-drift-different-concentrations__9987,XGBoost,0.996,
|
266 |
+
openml__gas-drift-different-concentrations__9987,TuneTables,0.994,1501.565
|
267 |
+
openml__GesturePhaseSegmentationProcessed__14969,CatBoost,0.621,
|
268 |
+
openml__GesturePhaseSegmentationProcessed__14969,TabPFNs3000,0.561,7.306
|
269 |
+
openml__GesturePhaseSegmentationProcessed__14969,XGBoost,0.676,
|
270 |
+
openml__GesturePhaseSegmentationProcessed__14969,TuneTables,0.604,934.737
|
271 |
+
openml__gina_agnostic__3891,CatBoost,0.951,
|
272 |
+
openml__gina_agnostic__3891,TabPFNs3000,0.931,13.085
|
273 |
+
openml__gina_agnostic__3891,XGBoost,0.939,
|
274 |
+
openml__gina_agnostic__3891,TuneTables,0.924,1693.436
|
275 |
+
openml__glass__40,CatBoost,0.749,
|
276 |
+
openml__glass__40,TabPFNs3000,0.667,0.505
|
277 |
+
openml__glass__40,XGBoost,0.682,
|
278 |
+
openml__glass__40,TuneTables,0.636,56.497
|
279 |
+
openml__guillermo__168337,TabPFNs3000,0.788,40.777
|
280 |
+
openml__guillermo__168337,XGBoost,0.839,
|
281 |
+
openml__guillermo__168337,TuneTables,0.822,8979.78
|
282 |
+
openml__haberman__42,CatBoost,0.768,
|
283 |
+
openml__haberman__42,TabPFNs3000,0.763,0.302
|
284 |
+
openml__haberman__42,XGBoost,0.737,
|
285 |
+
openml__haberman__42,TuneTables,0.742,50.298
|
286 |
+
openml__har__14970,CatBoost,0.981,
|
287 |
+
openml__har__14970,TabPFNs3000,0.92,12.336
|
288 |
+
openml__har__14970,XGBoost,0.993,
|
289 |
+
openml__har__14970,TuneTables,0.981,
|
290 |
+
openml__hayes-roth__146063,CatBoost,0.724,
|
291 |
+
openml__hayes-roth__146063,TabPFNs3000,0.833,0.564
|
292 |
+
openml__hayes-roth__146063,XGBoost,0.775,
|
293 |
+
openml__hayes-roth__146063,TuneTables,0.812,48.89
|
294 |
+
openml__heart-c__48,CatBoost,0.891,
|
295 |
+
openml__heart-c__48,TabPFNs3000,0.903,0.963
|
296 |
+
openml__heart-c__48,XGBoost,0.839,
|
297 |
+
openml__heart-c__48,TuneTables,0.903,
|
298 |
+
openml__heart-h__50,CatBoost,0.839,
|
299 |
+
openml__heart-h__50,TabPFNs3000,0.811,0.947
|
300 |
+
openml__heart-h__50,XGBoost,0.785,
|
301 |
+
openml__heart-h__50,TuneTables,0.811,28.576
|
302 |
+
openml__helena__168329,TuneTables,0.351,2913.546
|
303 |
+
openml__hepatitis__54,CatBoost,0.849,
|
304 |
+
openml__hepatitis__54,TabPFNs3000,0.854,0.394
|
305 |
+
openml__hepatitis__54,XGBoost,0.858,
|
306 |
+
openml__hepatitis__54,TuneTables,0.854,45.407
|
307 |
+
openml__higgs__146606,CatBoost,0.724,
|
308 |
+
openml__higgs__146606,TabPFNs3000,0.67,31.118
|
309 |
+
openml__higgs__146606,XGBoost,0.725,
|
310 |
+
openml__higgs__146606,TuneTables,0.714,
|
311 |
+
openml__hill-valley__145847,CatBoost,0.543,
|
312 |
+
openml__hill-valley__145847,TabPFNs3000,0.559,3.41
|
313 |
+
openml__hill-valley__145847,XGBoost,0.532,
|
314 |
+
openml__hill-valley__145847,TuneTables,0.543,36.101
|
315 |
+
openml__house_16H__3686,CatBoost,0.89,
|
316 |
+
openml__house_16H__3686,TabPFNs3000,0.889,6.293
|
317 |
+
openml__house_16H__3686,XGBoost,0.892,
|
318 |
+
openml__house_16H__3686,TuneTables,0.891,1420.893
|
319 |
+
openml__ilpd__9971,CatBoost,0.718,
|
320 |
+
openml__ilpd__9971,TabPFNs3000,0.695,1.472
|
321 |
+
openml__ilpd__9971,XGBoost,0.672,
|
322 |
+
openml__ilpd__9971,TuneTables,0.667,58.787
|
323 |
+
openml__Internet-Advertisements__167125,CatBoost,0.968,
|
324 |
+
openml__Internet-Advertisements__167125,TabPFNs3000,0.965,16.673
|
325 |
+
openml__Internet-Advertisements__167125,XGBoost,0.966,
|
326 |
+
openml__Internet-Advertisements__167125,TuneTables,0.962,590.366
|
327 |
+
openml__ionosphere__145984,CatBoost,0.929,
|
328 |
+
openml__ionosphere__145984,TabPFNs3000,0.972,1.083
|
329 |
+
openml__ionosphere__145984,XGBoost,0.892,
|
330 |
+
openml__ionosphere__145984,TuneTables,0.972,32.482
|
331 |
+
openml__iris__59,CatBoost,0.974,
|
332 |
+
openml__iris__59,TabPFNs3000,1,0.581
|
333 |
+
openml__iris__59,XGBoost,0.976,
|
334 |
+
openml__iris__59,TuneTables,0.978,37.292
|
335 |
+
openml__irish__3543,CatBoost,1,
|
336 |
+
openml__irish__3543,TabPFNs3000,0.993,0.98
|
337 |
+
openml__irish__3543,XGBoost,0.987,
|
338 |
+
openml__irish__3543,TuneTables,0.993,30.967
|
339 |
+
openml__isolet__3481,XGBoost,0.948,
|
340 |
+
openml__isolet__3481,TuneTables,0.935,1870.254
|
341 |
+
openml__jannis__168330,CatBoost,0.713,
|
342 |
+
openml__jannis__168330,TabPFNs3000,0.647,24.092
|
343 |
+
openml__jannis__168330,XGBoost,0.722,
|
344 |
+
openml__jannis__168330,TuneTables,0.711,2233.818
|
345 |
+
openml__JapaneseVowels__3510,CatBoost,0.99,
|
346 |
+
openml__JapaneseVowels__3510,TabPFNs3000,0.978,5.89
|
347 |
+
openml__JapaneseVowels__3510,XGBoost,0.985,
|
348 |
+
openml__JapaneseVowels__3510,TuneTables,0.985,750.434
|
349 |
+
openml__jasmine__168911,CatBoost,0.826,
|
350 |
+
openml__jasmine__168911,TabPFNs3000,0.809,6.707
|
351 |
+
openml__jasmine__168911,XGBoost,0.824,
|
352 |
+
openml__jasmine__168911,TuneTables,0.795,148.876
|
353 |
+
openml__jm1__3904,CatBoost,0.822,
|
354 |
+
openml__jm1__3904,TabPFNs3000,0.819,6.791
|
355 |
+
openml__jm1__3904,XGBoost,0.823,
|
356 |
+
openml__jm1__3904,TuneTables,0.82,746.826
|
357 |
+
openml__jungle_chess_2pcs_raw_endgame_complete__167119,CatBoost,0.863,
|
358 |
+
openml__jungle_chess_2pcs_raw_endgame_complete__167119,TabPFNs3000,0.829,10.372
|
359 |
+
openml__jungle_chess_2pcs_raw_endgame_complete__167119,XGBoost,0.86,
|
360 |
+
openml__jungle_chess_2pcs_raw_endgame_complete__167119,TuneTables,0.916,1961.475
|
361 |
+
openml__kc1__3917,CatBoost,0.864,
|
362 |
+
openml__kc1__3917,TabPFNs3000,0.856,5.646
|
363 |
+
openml__kc1__3917,XGBoost,0.855,
|
364 |
+
openml__kc1__3917,TuneTables,0.856,
|
365 |
+
openml__kc2__3913,CatBoost,0.844,
|
366 |
+
openml__kc2__3913,TabPFNs3000,0.848,2.624
|
367 |
+
openml__kc2__3913,XGBoost,0.825,
|
368 |
+
openml__kc2__3913,TuneTables,0.842,31.719
|
369 |
+
openml__kr-vs-kp__3,CatBoost,0.993,
|
370 |
+
openml__kr-vs-kp__3,TabPFNs3000,0.989,7.1
|
371 |
+
openml__kr-vs-kp__3,XGBoost,0.99,
|
372 |
+
openml__kr-vs-kp__3,TuneTables,0.989,169.951
|
373 |
+
openml__kropt__2076,CatBoost,0.65,
|
374 |
+
openml__kropt__2076,XGBoost,0.927,
|
375 |
+
openml__kropt__2076,TuneTables,0.853,3140.885
|
376 |
+
openml__labor__4,CatBoost,0.943,
|
377 |
+
openml__labor__4,TabPFNs3000,1,0.454
|
378 |
+
openml__labor__4,XGBoost,0.966,
|
379 |
+
openml__labor__4,TuneTables,1,33.661
|
380 |
+
openml__ldpa__9974,CatBoost,0.769,
|
381 |
+
openml__ldpa__9974,XGBoost,0.98,
|
382 |
+
openml__ldpa__9974,TuneTables,0.775,12874.47
|
383 |
+
openml__LED-display-domain-7digit__125921,CatBoost,0.727,
|
384 |
+
openml__LED-display-domain-7digit__125921,TabPFNs3000,0.727,1.292
|
385 |
+
openml__LED-display-domain-7digit__125921,XGBoost,0.72,
|
386 |
+
openml__LED-display-domain-7digit__125921,TuneTables,0.72,33.681
|
387 |
+
openml__letter__6,CatBoost,0.942,
|
388 |
+
openml__letter__6,XGBoost,0.964,
|
389 |
+
openml__letter__6,TuneTables,0.97,2485.889
|
390 |
+
openml__libras__360948,CatBoost,0.429,
|
391 |
+
openml__libras__360948,TabPFNs3000,0.481,6.125
|
392 |
+
openml__libras__360948,XGBoost,0.447,
|
393 |
+
openml__libras__360948,TuneTables,0.509,230.533
|
394 |
+
openml__lung-cancer__146024,CatBoost,0.451,
|
395 |
+
openml__lung-cancer__146024,TabPFNs3000,0.639,0.427
|
396 |
+
openml__lung-cancer__146024,XGBoost,0.649,
|
397 |
+
openml__lung-cancer__146024,TuneTables,0.722,30.579
|
398 |
+
openml__lymph__10,CatBoost,0.758,
|
399 |
+
openml__lymph__10,TabPFNs3000,0.778,0.446
|
400 |
+
openml__lymph__10,XGBoost,0.814,
|
401 |
+
openml__lymph__10,TuneTables,0.756,35.144
|
402 |
+
openml__madelon__9976,CatBoost,0.863,
|
403 |
+
openml__madelon__9976,TabPFNs3000,0.667,9.237
|
404 |
+
openml__madelon__9976,XGBoost,0.838,
|
405 |
+
openml__madelon__9976,TuneTables,0.603,122.353
|
406 |
+
openml__magic__146206,CatBoost,0.887,
|
407 |
+
openml__magic__146206,TabPFNs3000,0.879,5.756
|
408 |
+
openml__magic__146206,XGBoost,0.884,
|
409 |
+
openml__magic__146206,TuneTables,0.879,1288.742
|
410 |
+
openml__MagicTelescope__3954,CatBoost,0.887,
|
411 |
+
openml__MagicTelescope__3954,TabPFNs3000,0.877,5.63
|
412 |
+
openml__MagicTelescope__3954,XGBoost,0.884,
|
413 |
+
openml__MagicTelescope__3954,TuneTables,0.879,1292.403
|
414 |
+
openml__mfeat-factors__12,CatBoost,0.968,
|
415 |
+
openml__mfeat-factors__12,TabPFNs3000,0.977,6.651
|
416 |
+
openml__mfeat-factors__12,XGBoost,0.959,
|
417 |
+
openml__mfeat-factors__12,TuneTables,0.977,88.974
|
418 |
+
openml__mfeat-fourier__14,CatBoost,0.805,
|
419 |
+
openml__mfeat-fourier__14,TabPFNs3000,0.825,6.488
|
420 |
+
openml__mfeat-fourier__14,XGBoost,0.839,
|
421 |
+
openml__mfeat-fourier__14,TuneTables,0.798,37.654
|
422 |
+
openml__mfeat-karhunen__16,CatBoost,0.955,
|
423 |
+
openml__mfeat-karhunen__16,TabPFNs3000,0.97,6.432
|
424 |
+
openml__mfeat-karhunen__16,XGBoost,0.954,
|
425 |
+
openml__mfeat-karhunen__16,TuneTables,0.967,32.454
|
426 |
+
openml__mfeat-morphological__18,CatBoost,0.697,
|
427 |
+
openml__mfeat-morphological__18,TabPFNs3000,0.708,3.384
|
428 |
+
openml__mfeat-morphological__18,XGBoost,0.721,
|
429 |
+
openml__mfeat-morphological__18,TuneTables,0.732,39.711
|
430 |
+
openml__mfeat-pixel__146824,CatBoost,0.969,
|
431 |
+
openml__mfeat-pixel__146824,TabPFNs3000,0.968,7.179
|
432 |
+
openml__mfeat-pixel__146824,XGBoost,0.972,
|
433 |
+
openml__mfeat-pixel__146824,TuneTables,0.968,97.017
|
434 |
+
openml__mfeat-zernike__22,CatBoost,0.77,
|
435 |
+
openml__mfeat-zernike__22,TabPFNs3000,0.838,6.298
|
436 |
+
openml__mfeat-zernike__22,XGBoost,0.803,
|
437 |
+
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openml__wall-robot-navigation__9960,TuneTables,0.941,547.256
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openml__wdbc__9946,CatBoost,0.966,
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openml__wdbc__9946,TabPFNs3000,0.977,3.726
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openml__wdbc__9946,XGBoost,0.971,
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openml__wdbc__9946,TuneTables,0.977,36.426
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openml__wilt__146820,CatBoost,0.982,
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openml__wilt__146820,TabPFNs3000,0.989,4.2
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openml__wilt__146820,XGBoost,0.985,
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openml__wilt__146820,TuneTables,0.988,256.856
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openml__yeast__145793,CatBoost,0.604,
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openml__yeast__145793,TabPFNs3000,0.606,2.548
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openml__yeast__145793,XGBoost,0.601,
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openml__yeast__145793,TuneTables,0.598,72.246
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05_2024_tabzilla_main_plotting_data/main_table_results_newlogic_05_16_2024.csv
ADDED
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05_2024_tabzilla_main_plotting_data/tt-rebuttal-all-algos-old-md-05_16_2024.csv
ADDED
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|