readme: ---
  license: mit
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: example.pkl
  widget:
    structuredData:
      'Unnamed: 32':
      - .nan
      - .nan
      - .nan
      area_mean:
      - 481.9
      - 1130.0
      - 748.9
      area_se:
      - 30.29
      - 96.05
      - 48.31
      area_worst:
      - 677.9
      - 1866.0
      - 1156.0
      compactness_mean:
      - 0.1058
      - 0.1029
      - 0.1223
      compactness_se:
      - 0.01911
      - 0.01652
      - 0.01484
      compactness_worst:
      - 0.2378
      - 0.2336
      - 0.2394
      concave points_mean:
      - 0.03821
      - 0.07951
      - 0.08087
      concave points_se:
      - 0.01037
      - 0.0137
      - 0.01093
      concave points_worst:
      - 0.1015
      - 0.1789
      - 0.1514
      concavity_mean:
      - 0.08005
      - 0.108
      - 0.1466
      concavity_se:
      - 0.02701
      - 0.02269
      - 0.02813
      concavity_worst:
      - 0.2671
      - 0.2687
      - 0.3791
      fractal_dimension_mean:
      - 0.06373
      - 0.05461
      - 0.05796
      fractal_dimension_se:
      - 0.003586
      - 0.001698
      - 0.002461
      fractal_dimension_worst:
      - 0.0875
      - 0.06589
      - 0.08019
      id:
      - 87930
      - 859575
      - 8670
      perimeter_mean:
      - 81.09
      - 123.6
      - 101.7
      perimeter_se:
      - 2.497
      - 5.486
      - 3.094
      perimeter_worst:
      - 96.05
      - 165.9
      - 124.9
      radius_mean:
      - 12.47
      - 18.94
      - 15.46
      radius_se:
      - 0.3961
      - 0.7888
      - 0.4743
      radius_worst:
      - 14.97
      - 24.86
      - 19.26
      smoothness_mean:
      - 0.09965
      - 0.09009
      - 0.1092
      smoothness_se:
      - 0.006953
      - 0.004444
      - 0.00624
      smoothness_worst:
      - 0.1426
      - 0.1193
      - 0.1546
      symmetry_mean:
      - 0.1925
      - 0.1582
      - 0.1931
      symmetry_se:
      - 0.01782
      - 0.01386
      - 0.01397
      symmetry_worst:
      - 0.3014
      - 0.2551
      - 0.2837
      texture_mean:
      - 18.6
      - 21.31
      - 19.48
      texture_se:
      - 1.044
      - 0.7975
      - 0.7859
      texture_worst:
      - 24.64
      - 26.58
      - 26.0
  ---
  
  # Model description
  
  [More Information Needed]
  
  ## 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                    | [('imputer', SimpleImputer()), ('scaler', StandardScaler()), ('model', LogisticRegression())] |
  | verbose                  | False                                                                                         |
  | imputer                  | SimpleImputer()                                                                               |
  | scaler                   | StandardScaler()                                                                              |
  | model                    | LogisticRegression()                                                                          |
  | imputer__add_indicator   | False                                                                                         |
  | imputer__copy            | True                                                                                          |
  | imputer__fill_value      |                                                                                               |
  | imputer__missing_values  | nan                                                                                           |
  | imputer__strategy        | mean                                                                                          |
  | imputer__verbose         | 0                                                                                             |
  | 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                                                        