readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  widget:
    structuredData:
      attribute_0:
      - material_7
      - material_7
      - material_7
      attribute_1:
      - material_8
      - material_8
      - material_6
      attribute_2:
      - 5
      - 5
      - 6
      attribute_3:
      - 8
      - 8
      - 9
      loading:
      - 154.02
      - 108.73
      - 99.84
      measurement_0:
      - 14
      - 4
      - 6
      measurement_1:
      - 6
      - 7
      - 7
      measurement_10:
      - 16.637
      - 16.207
      - 17.17
      measurement_11:
      - 20.719
      - 20.058
      - 20.858
      measurement_12:
      - 12.824
      - 11.898
      - 10.968
      measurement_13:
      - 16.067
      - 13.871
      - 16.448
      measurement_14:
      - 15.181
      - 14.266
      - 15.6
      measurement_15:
      - 18.546
      - 15.734
      - 14.637
      measurement_16:
      - 19.402
      - 16.886
      - 13.86
      measurement_17:
      - 643.086
      - 642.533
      - 673.545
      measurement_2:
      - 6
      - 9
      - 6
      measurement_3:
      - 19.532
      - 18.128
      - NaN
      measurement_4:
      - 11.017
      - 11.866
      - 10.064
      measurement_5:
      - 15.639
      - 17.891
      - 16.287
      measurement_6:
      - 16.709
      - 20.302
      - 17.445
      measurement_7:
      - 10.057
      - NaN
      - 12.117
      measurement_8:
      - 20.201
      - 18.148
      - 20.659
      measurement_9:
      - 11.106
      - 10.221
      - 11.999
      product_code:
      - C
      - C
      - 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(),['product_code'])])), ('model', DecisionTreeClassifier(max_depth=4))]                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           