readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  widget:
    structuredData:
      attribute_0:
      attribute_1:
      attribute_2:
      attribute_3:
      loading:
      measurement_0:
      measurement_1:
      measurement_10:
      measurement_11:
      measurement_12:
      measurement_13:
      measurement_14:
      measurement_15:
      measurement_16:
      measurement_17:
      measurement_2:
      measurement_3:
      measurement_4:
      measurement_5:
      measurement_6:
      measurement_7:
      measurement_8:
      measurement_9:
      product_code:
  ---
  
  # Model description
  
  This is a copy of (tabular-playground)[https://huggingface.co/scikit-learn/tabular-playground] for testing purposes.
  
  ## Intended uses & limitations
  
  This model is not ready to be used in production.
  
  ## Training Procedure
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter                                                  | Value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
  |-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | memory                                                          |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
  | steps                                                           | [('transformation', ColumnTransformer(transformers=[('loading_missing_value_imputer',
                                   SimpleImputer(), ['loading']),
                                  ('numerical_missing_value_imputer',
                                   SimpleImputer(),
                                   ['loading', 'measurement_3', 'measurement_4',
                                    'measurement_5', 'measurement_6',
                                    'measurement_7', 'measurement_8',
                                    'measurement_9', 'measurement_10',
                                    'measurement_11', 'measurement_12',
                                    'measurement_13', 'measurement_14',
                                    'measurement_15', 'measurement_16',
                                    'measurement_17']),
                                  ('attribute_0_encoder', OneHotEncoder(),
                                   ['attribute_0']),
                                  ('attribute_1_encoder', OneHotEncoder(),
                                   ['attribute_1']),
                                  ('product_code_encoder', OneHotEncoder(),
                                   ['product_code'])])), ('model', DecisionTreeClassifier(max_depth=4))]                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
  | verbose                                                         | False                                                                                                                                                                                           