readme: ---
  license: mit
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: example.pkl
  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   |
  |--------------------------|---------|
  | ccp_alpha                | 0.0     |
  | class_weight             |         |
  | criterion                | gini    |
  | 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.
  
  <style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index