readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-regression
  model_file: pipeline.skops
  widget:
    structuredData:
      acceleration:
      - 20.7
      - 17.0
      - 18.6
      cylinders:
      - 4
      - 4
      - 4
      displacement:
      - 98.0
      - 120.0
      - 120.0
      horsepower:
      - '65'
      - '88'
      - '79'
      model year:
      - 81
      - 75
      - 82
      origin:
      - 1
      - 2
      - 1
      weight:
      - 2380
      - 2957
      - 2625
  ---
  
  # Model description
  
  This is a regression model on MPG dataset trained for this [kaggle tutorial](https://www.kaggle.com/unofficialmerve/persisting-your-scikit-learn-model-using-skops/).
  
  ## 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         |
  |--------------------------|---------------|
  | ccp_alpha                | 0.0           |
  | criterion                | squared_error |
  | max_depth                |               |
  | max_features             |               |
  | max_leaf_nodes           |               |
  | min_impurity_decrease    | 0.0           |
  | min_samples_leaf         | 1             |
  | min_samples_split        | 2             |
  | min_weight_fraction_leaf | 0.0           |
  | random_state             |               |
  | splitter                 | best          |
  
  </details>
  
  ### Model Plot
  
  The model plot is below.
  
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