readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  widget:
    structuredData:
      attribute_0:
      - material_7
      - material_7
      - material_7
      attribute_1:
      - material_6
      - material_5
      - material_6
      attribute_2:
      - 6
      - 6
      - 6
      attribute_3:
      - 9
      - 6
      - 9
      loading:
      - 101.52
      - 91.34
      - 167.03
      measurement_0:
      - 9
      - 10
      - 11
      measurement_1:
      - 11
      - 11
      - 5
      measurement_10:
      - 14.926
      - 15.162
      - 16.398
      measurement_11:
      - 20.394
      - 19.46
      - 20.613
      measurement_12:
      - 11.829
      - 9.114
      - 11.007
      measurement_13:
      - 16.195
      - 16.024
      - 16.061
      measurement_14:
      - 16.517
      - 17.132
      - 15.18
      measurement_15:
      - 13.826
      - 12.257
      - 15.758
      measurement_16:
      - 14.206
      - 15.094
      - .nan
      measurement_17:
      - 723.712
      - 896.835
      - 893.454
      measurement_2:
      - 2
      - 10
      - 6
      measurement_3:
      - 17.492
      - 18.114
      - 18.42
      measurement_4:
      - 13.962
      - 10.185
      - 13.565
      measurement_5:
      - 15.716
      - 18.06
      - 16.916
      measurement_6:
      - 17.104
      - 18.283
      - 17.917
      measurement_7:
      - 12.377
      - 10.957
      - 10.394
      measurement_8:
      - 19.221
      - 20.638
      - 19.805
      measurement_9:
      - 11.613
      - 11.804
      - 12.012
      product_code:
      - E
      - D
      - E
  ---
  
  # Model description
  
  This is a DecisionTreeClassifier model built for Kaggle Tabular Playground Series August 2022, trained on supersoaker production failures dataset.
  
  ## 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(),
                                   ['produ