Model description
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Intended uses & limitations
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Training Procedure
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Hyperparameters
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| Hyperparameter | Value |
|---|---|
| C | 1.0 |
| class_weight | |
| dual | False |
| fit_intercept | True |
| intercept_scaling | 1 |
| l1_ratio | |
| max_iter | 100 |
| multi_class | auto |
| n_jobs | |
| penalty | l2 |
| random_state | |
| solver | lbfgs |
| tol | 0.0001 |
| verbose | 0 |
| warm_start | False |
Model Plot
LogisticRegression()Please rerun this cell to show the HTML repr or trust the notebook.
LogisticRegression
LogisticRegression()
Evaluation Results
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How to Get Started with the Model
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Model Card Authors
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Citation
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