Model description

Middle Dutch NER with PassiveAgressiveClassifier

Intended uses & limitations

This model is not ready to be used in production.

Training Procedure

TESTING

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter	Value
C	1.0
average	False
class_weight
early_stopping	False
fit_intercept	True
loss	hinge
max_iter	1000
n_iter_no_change	5
n_jobs
random_state	42
shuffle	True
tol	0.001
validation_fraction	0.1
verbose	0
warm_start	False

Model Plot

The model plot is below.

PassiveAggressiveClassifier(random_state=42)

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Evaluation Results

You can find the details about evaluation process and the evaluation results.

Metric	Value
accuracy including 'O'	0.901851
f1 score including 'O	0.901851
precision excluding 'O'	0.647887
recall excluding 'O'	0.572852
f1 excluding 'O'	0.608063

Confusion Matrix

How to Get Started with the Model

[More Information Needed]

Model Card Authors

Alassea TEST

Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

BibTeX

@inproceedings{...,year={2022}}