--- library_name: sklearn tags: - sklearn - skops - tabular-classification model_format: pickle model_file: hw4_mmcar25_classifier_iter.pkl widget: - structuredData: Age: - 35.35851182279478 - 39.0 - 34.0 Contract Length_Annual: - 1.0 - 1.0 - 0.41739539170657025 Contract Length_Monthly: - 0.0 - -9.588600988763574e-07 - 0.0 Contract Length_Quarterly: - 0.0 - 0.0 - 0.5826040993874315 CustomerID: - 385551.0 - 261335.0 - 153561.94905072325 Gender_Female: - 0.0 - 1.000000010533829 - 8.715916877122254e-10 Gender_Male: - 1.0000000007832854 - 0.0 - 1.0 Last Interaction: - 20.0 - 9.0 - 12.0 Payment Delay: - 19.0 - 7.0 - 14.520183163578832 Subscription Type_Basic: - 1.00000007659523 - 1.0 - -1.5888031917876688e-07 Subscription Type_Premium: - 0.0 - 0.0 - 0.0 Subscription Type_Standard: - 0.0 - 0.0 - 1.0 Support Calls: - 0.0 - 0.0 - 8.0 Tenure: - 43.0 - 31.0 - 17.0 Total Spend: - 914.15 - 657.3 - 511.21 Usage Frequency: - 23.0 - 28.0 - 15.898805108896807 --- # Model description [More Information Needed] ## Intended uses & limitations [More Information Needed] ## Training Procedure [More Information Needed] ### Hyperparameters
Click to expand | Hyperparameter | Value | |--------------------------|---------| | bootstrap | True | | ccp_alpha | 0.0 | | class_weight | | | criterion | gini | | max_depth | | | max_features | sqrt | | max_leaf_nodes | | | max_samples | | | min_impurity_decrease | 0.0 | | min_samples_leaf | 1 | | min_samples_split | 2 | | min_weight_fraction_leaf | 0.0 | | monotonic_cst | | | n_estimators | 100 | | n_jobs | | | oob_score | False | | random_state | 42 | | verbose | 0 | | warm_start | False |
### Model Plot
RandomForestClassifier(random_state=42)
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## Evaluation Results | Metric | Value | |----------|----------| | f1 score | 0.980536 | | accuracy | 0.978034 | # How to Get Started with the Model [More Information Needed] # Model Card Authors This model card is written by following authors: [More Information Needed] # 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] ``` # eval_method The model is evaluated using test split, on accuracy and f1.