readme: ---
  license: mit
  library_name: sklearn
  tags:
  - sklearn
  - skops
  - tabular-classification
  model_file: model.pkl
  ---
  
  # 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                                                     |
  |-------------------|-----------------------------------------------------------|
  | Cs                | 10                                                        |
  | class_weight      |                                                           |
  | cv                | StratifiedKFold(n_splits=5, random_state=1, shuffle=True) |
  | dual              | False                                                     |
  | fit_intercept     | True                                                      |
  | intercept_scaling | 1.0                                                       |
  | l1_ratios         |                                                           |
  | max_iter          | 100                                                       |
  | multi_class       | auto                                                      |
  | n_jobs            |                                                           |
  | penalty           | l2                                                        |
  | random_state      | 1                                                         |
  | refit             | False                                                     |
  | scoring           |                                                           |
  | solver            | lbfgs                                                     |
  | tol               | 0.0001                                                    |
  | verbose           | 0                                                         |
  
  </details>
  
  ### Model Plot
  
  The model plot is below.
  
  <style>#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 {color: black;background-color: white;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 pre{padding: 0;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-toggleable {background-color: white;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 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-3244a8f9-b723-4dac-a610-2fbd0449e147 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-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-estimator:hover {background-color: #d4ebff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-item {z-index: 1;}#sk-3244a8f9-b723-4dac-a610-2fbd0449e147 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-3244a8f9-b723-4dac