readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: model.pkl
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  ---
  
  # Model description
  
  [More Information Needed]
  
  ## Intended uses & limitations
  
  [More Information Needed]
  
  ## Training Procedure
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter          | Value           |
  |-------------------------|-----------------|
  | objective               | binary:logistic |
  | use_label_encoder       |                 |
  | base_score              | 0.5             |
  | booster                 | gbtree          |
  | callbacks               |                 |
  | colsample_bylevel       | 1               |
  | colsample_bynode        | 1               |
  | colsample_bytree        | 1               |
  | early_stopping_rounds   |                 |
  | enable_categorical      | False           |
  | eval_metric             | logloss         |
  | feature_types           |                 |
  | gamma                   | 3               |
  | gpu_id                  | -1              |
  | grow_policy             | depthwise       |
  | importance_type         |                 |
  | interaction_constraints |                 |
  | learning_rate           | 0.1             |
  | max_bin                 | 256             |
  | max_cat_threshold       | 64              |
  | max_cat_to_onehot       | 4               |
  | max_delta_step          | 0               |
  | max_depth               | 6               |
  | max_leaves              | 0   