readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: model.pkl
  widget:
    structuredData:
      area_mean:
      - 407.4
      - 1335.0
      - 428.0
      area_se:
      - 26.99
      - 77.02
      - 17.12
      area_worst:
      - 508.9
      - 1946.0
      - 546.3
      compactness_mean:
      - 0.05991
      - 0.1076
      - 0.069
      compactness_se:
      - 0.01065
      - 0.01895
      - 0.01727
      compactness_worst:
      - 0.1049
      - 0.3055
      - 0.188
      concave points_mean:
      - 0.02069
      - 0.08941
      - 0.01393
      concave points_se:
      - 0.009175
      - 0.01232
      - 0.006747
      concave points_worst:
      - 0.06544
      - 0.2112
      - 0.06913
      concavity_mean:
      - 0.02638
      - 0.1527
      - 0.02669
      concavity_se:
      - 0.01245
      - 0.02681
      - 0.02045
      concavity_worst:
      - 0.08105
      - 0.4159
      - 0.1471
      fractal_dimension_mean:
      - 0.05934
      - 0.05478
      - 0.06057
      fractal_dimension_se:
      - 0.001461
      - 0.001711
      - 0.002922
      fractal_dimension_worst:
      - 0.06487
      - 0.07055
      - 0.07993
      perimeter_mean:
      - 73.28
      - 134.8
      - 75.51
      perimeter_se:
      - 2.684
      - 4.119
      - 1.444
      perimeter_worst:
      - 83.12
      - 166.8
      - 85.22
      radius_mean:
      - 11.5
      - 20.64
      - 11.84
      radius_se:
      - 0.3927
      - 0.6137
      - 0.2222
      radius_worst:
      - 12.97
      - 25.37
      - 13.3
      smoothness_mean:
      - 0.09345
      - 0.09446
      - 0.08871
      smoothness_se:
      - 0.00638
      - 0.006211
      - 0.005517
      smoothness_worst:
      - 0.1183
      - 0.1562
      - 0.128
      symmetry_mean:
      - 0.1834
      - 0.1571
      - 0.1533
      symmetry_se:
      - 0.02292
      - 0.01276
      - 0.01616
      symmetry_worst:
      - 0.274
      - 0.2689
      - 0.2535
      texture_mean:
      - 18.45
      - 17.35
      - 18.94
      texture_se:
      - 0.8429
      - 0.6575
      - 0.8652
      texture_worst:
      - 22.46
      - 23.17
      - 24.99
  ---
  
  # Model description
  
  This is a Logistic Regression trained on breast cancer dataset.
  
  ## Intended uses & limitations
  
  This model is trained for educational purposes.
  
  ## Training Procedure
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter           | Value                                                           |
  |--------------------------|-----------------------------------------------------------------|
  | memory                   |                                                                 |
  | steps                    | [('scaler', StandardScaler()), ('model', LogisticRegression())] |
  | verbose                  | False                                                           |
  | scaler                   | StandardScaler()                                                |
  | model                    | LogisticRegression()                                            |
  | scaler__copy             | True                                                            |
  | scaler__with_mean        | True                                                            |
  | scaler__with_std         | True                                                            |
  | model__C                 | 1.0                                                             |
  | model__class_weight      |                                                                 |
  | model__dual              | False                                                           |
  | model__fit_intercept     | True                                                            |
  | model__intercept_scaling | 1                                                               |
  | model__l1_ratio          |                                                                 |
  | model__max_iter          | 100                                                             |
  | model__multi_class       | auto                                                            |
  | model__n_jobs            |                                                                 |
  | model__penalty           | l2                                                              |
  | model__random_state      |                                                                 |
  | model__solver            | lbfgs                                                           |
  | model__tol               | 0.0001                                                          |
  | model__verbose           | 0                                                               |
  | model__warm_start        | False                                                           |
  
  </details>
  
  ### Model Plot
  
  The model plot is below.
  
  <style>#sk-5b6643ea-0cef-4d0c-8389-2cf071bf6152 {color: black;background-color: white;}#sk-5b6643ea-0cef-4d0c-8389-2cf071bf6152 pre{padding: 0;}#sk-5b6643ea-0cef-4d0c-8389-2cf071bf6152 div.sk-toggleable {background-color: white;}#sk-5b6643ea-0cef-4d0c-8389-2cf071bf6152 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-b