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Click to expand | Hyperparameter | Value | |-------------------|-----------------------------------------------------------| | Cs | 10 | | class_weight | | | cv | StratifiedKFold(n_splits=5, random_state=1, shuffle=True) | | dual | False | | fit_intercept | True | | intercept_scaling | 1.0 | | l1_ratios | | | max_iter | 100 | | multi_class | auto | | n_jobs | | | penalty | l2 | | random_state | 1 | | refit | False | | scoring | | | solver | lbfgs | | tol | 0.0001 | | verbose | 0 |
### Model Plot The model plot is below.
LogisticRegressionCV(cv=StratifiedKFold(n_splits=5, random_state=1, shuffle=True),random_state=1, refit=False)
Please rerun this cell to show the HTML repr or trust the notebook.
## Evaluation Results You can find the details about evaluation process and the evaluation results. | Metric | Value | |----------|---------| | accuracy | 0.97707 | | f1 score | 0.97707 | # How to Get Started with the Model Use the code below to get started with the model.
Click to expand ```python import pickle with open('model.pkl', 'rb') as file: clf = pickle.load(file) ```
# Model Card Authors This model card is written by following authors: Patrick Ramos # Model Card Contact You can contact the model card authors through following channels: [More Information Needed] # Citation Below you can find information related to citation. **BibTeX:** ``` [More Information Needed] ```