readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: umit_class_okl25.pkl
  widget:
    structuredData:
      CO2:
      - 612
      - 632
      - 636
      Hum:
      - 33.5
      - 29.8
      - 32.1
      Temp:
      - 22.2
      - 22.3
      - 23.1
  ---
  
  # 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                                                                 |
  |-------------------------------------|-----------------------------------------------------------------------|
  | memory                              |                                                                       |
  | steps                               | [('transform', FunctionTransformer(func=<function nan_to_num at 0x0000020D770E4A60>)), ('classifier', XGBClassifier(base_score=None, booster=None, callbacks=None,<br />              colsample_bylevel=None, colsample_bynode=None,<br />              colsample_bytree=None, early_stopping_rounds=None,<br />              enable_categorical=False, eval_metric=None, feature_types=None,<br />              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,<br />              interaction_constraints=None, learning_rate=None, max_bin=None,<br />              max_cat_threshold=None, max_cat_to_onehot=None,<br />              max_delta_step=None, max_depth=None, max_leaves=None,<br />              min_child_weight=None, missing=nan, monotone_constraints=None,<br />              n_estimators=100, n_jobs=None, num_parallel_tree=None,<br />              predictor=None, random_state=None, ...))]                                                                       |
  | verbose                             | False                                                                 |
  | transform                           | FunctionTransformer(func=<function nan_to_num at 0x0000020D770E4A60>) |
  | classifier                          | XGBClassifier(base_score=None, booster=None, callbacks=None,<br />              colsample_bylevel=None, colsample_bynode=None,<br />              colsample_bytree=None, early_stopping_rounds=None,<br />              enable_categorical=False, eval_metric=None, feature_types=None,<br />              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,<br />              interaction_constraints=None, learning_rate=None, max_bin=None,<br />              max_cat_threshold=None, max_cat_to_onehot=None,<br />              max_delta_step=None, max_depth=None, max_leaves=None,<br />              min_child_weight=None, missing=nan, monotone_constraints=None,<br />              n_estimators=100, n_jobs=None, num_parallel_tree=None,<br />              predictor=None, random_state=None, ...)                                                                       |
  | transform__accept_sparse            | False                                                                 |
  | transform__check_inverse            | True                                                                  |
  | transform__feature_names_out        |                                                                       |
  | transform__func                     | <function nan_to_num at 0x0000020D770E4A60>                           |
  | transform__inv_kw_args              |                                                                       |
  | transform__inverse_func             |                                                                       |
  | transform__kw_args                  |                                                                       |
  | transform__validate                 | False                                                                 |
  | classifier__objective               | binary:logistic                                                       |
  | classifier__use_label_encoder       |                                                                       |
  | classifier__base_score              |                                                                       |
  | classifier__booster                 |                                                                       |
  | classifier__callbacks               |                                                                       |
  | classifier__colsample_bylevel       |                                                                       |
  | classifier__colsample_bynode        |                                                                       |
  | classifier__colsample_bytree        |                                                                       |
  | classifier__early_stopping_rounds   |                                                                       |
  | classifier__enable_categorical      | False                                               