readme: ---
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  widget:
    structuredData:
      area error:
      - 30.29
      - 96.05
      - 48.31
      compactness error:
      - 0.01911
      - 0.01652
      - 0.01484
      concave points error:
      - 0.01037
      - 0.0137
      - 0.01093
      concavity error:
      - 0.02701
      - 0.02269
      - 0.02813
      fractal dimension error:
      - 0.003586
      - 0.001698
      - 0.002461
      mean area:
      - 481.9
      - 1130.0
      - 748.9
      mean compactness:
      - 0.1058
      - 0.1029
      - 0.1223
      mean concave points:
      - 0.03821
      - 0.07951
      - 0.08087
      mean concavity:
      - 0.08005
      - 0.108
      - 0.1466
      mean fractal dimension:
      - 0.06373
      - 0.05461
      - 0.05796
      mean perimeter:
      - 81.09
      - 123.6
      - 101.7
      mean radius:
      - 12.47
      - 18.94
      - 15.46
      mean smoothness:
      - 0.09965
      - 0.09009
      - 0.1092
      mean symmetry:
      - 0.1925
      - 0.1582
      - 0.1931
      mean texture:
      - 18.6
      - 21.31
      - 19.48
      perimeter error:
      - 2.497
      - 5.486
      - 3.094
      radius error:
      - 0.3961
      - 0.7888
      - 0.4743
      smoothness error:
      - 0.006953
      - 0.004444
      - 0.00624
      symmetry error:
      - 0.01782
      - 0.01386
      - 0.01397
      texture error:
      - 1.044
      - 0.7975
      - 0.7859
      worst area:
      - 677.9
      - 1866.0
      - 1156.0
      worst compactness:
      - 0.2378
      - 0.2336
      - 0.2394
      worst concave points:
      - 0.1015
      - 0.1789
      - 0.1514
      worst concavity:
      - 0.2671
      - 0.2687
      - 0.3791
      worst fractal dimension:
      - 0.0875
      - 0.06589
      - 0.08019
      worst perimeter:
      - 96.05
      - 165.9
      - 124.9
      worst radius:
      - 14.97
      - 24.86
      - 19.26
      worst smoothness:
      - 0.1426
      - 0.1193
      - 0.1546
      worst symmetry:
      - 0.3014
      - 0.2551
      - 0.2837
      worst texture:
      - 24.64
      - 26.58
      - 26.0
  ---
  
  # Model description
  
  [More Information Needed]
  
  ## Intended uses & limitations
  
  [More Information Needed]
  
  ## Training Procedure
  
  ### Hyperparameters
  
  The model is trained with below hyperparameters.
  
  <details>
  <summary> Click to expand </summary>
  
  | Hyperparameter                  | Value                                                    |
  |---------------------------------|----------------------------------------------------------|
  | aggressive_elimination          | False                                                    |
  | cv                              | 5                                                        |
  | error_score                     | nan                                                      |
  | estimator__categorical_features |                                                          |
  | estimator__early_stopping       | auto                                                     |
  | estimator__l2_regularization    | 0.0                                                      |
  | estimator__learning_rate        | 0.1                                                      |
  | estimator__loss                 | auto                                                     |
  | estimator__max_bins             | 255                                                      |
  | estimator__max_depth            |                                                          |
  | estimator__max_iter             | 100                                                      |
  | estimator__max_leaf_nodes       | 31                                                       |
  | estimator__min_samples_leaf     | 20                                                       |
  | estimator__monotonic_cst        |                                                          |
  | estimator__n_iter_no_change     | 10                                                       |
  | estimator__random_state         |                                                          |
  | estimator__scoring              | loss                                                     |
  | estimator__tol                  | 1e-07                                                    |
  | estimator__validation_fraction  | 0.1                                                      |
  | estimator__verbose              | 0                                                        |
  | estimator__warm_start           | False                                                    |
  | estimator                       | HistGradientBoostingClassifier()                         |
  | factor                          | 3                                                        |
  | max_resources                   | auto                                                     |
  | min_resources                   | exhaust                                                  |
  | n_jobs                          | -1                                                       |
  | param_grid                      | {'max_leaf_nodes': [5, 10, 15], 'max_depth': [2, 5, 10]} |
  | random_state                    | 42                                             