--- library_name: sklearn tags: - sklearn - tabular-classification - skops widget: structuredData: x0: - 0.0 - 0.0 - 0.0 x1: - 0.0 - 0.0 - 0.0 x10: - 13.0 - 0.0 - 3.0 x11: - 15.0 - 11.0 - 16.0 x12: - 10.0 - 16.0 - 15.0 x13: - 15.0 - 9.0 - 14.0 x14: - 5.0 - 0.0 - 0.0 x15: - 0.0 - 0.0 - 0.0 x16: - 0.0 - 0.0 - 0.0 x17: - 3.0 - 0.0 - 0.0 x18: - 15.0 - 3.0 - 8.0 x19: - 2.0 - 15.0 - 13.0 x2: - 5.0 - 0.0 - 0.0 x20: - 0.0 - 16.0 - 8.0 x21: - 11.0 - 6.0 - 16.0 x22: - 8.0 - 0.0 - 0.0 x23: - 0.0 - 0.0 - 0.0 x24: - 0.0 - 0.0 - 0.0 x25: - 4.0 - 7.0 - 0.0 x26: - 12.0 - 15.0 - 1.0 x27: - 0.0 - 16.0 - 6.0 x28: - 0.0 - 16.0 - 15.0 x29: - 8.0 - 2.0 - 11.0 x3: - 13.0 - 12.0 - 4.0 x30: - 8.0 - 0.0 - 0.0 x31: - 0.0 - 0.0 - 0.0 x32: - 0.0 - 0.0 - 0.0 x33: - 5.0 - 0.0 - 1.0 x34: - 8.0 - 1.0 - 8.0 x35: - 0.0 - 16.0 - 13.0 x36: - 0.0 - 16.0 - 15.0 x37: - 9.0 - 3.0 - 1.0 x38: - 8.0 - 0.0 - 0.0 x39: - 0.0 - 0.0 - 0.0 x4: - 9.0 - 13.0 - 15.0 x40: - 0.0 - 0.0 - 0.0 x41: - 4.0 - 0.0 - 9.0 x42: - 11.0 - 1.0 - 16.0 x43: - 0.0 - 16.0 - 16.0 x44: - 1.0 - 16.0 - 5.0 x45: - 12.0 - 6.0 - 0.0 x46: - 7.0 - 0.0 - 0.0 x47: - 0.0 - 0.0 - 0.0 x48: - 0.0 - 0.0 - 0.0 x49: - 2.0 - 0.0 - 3.0 x5: - 1.0 - 5.0 - 12.0 x50: - 14.0 - 1.0 - 13.0 x51: - 5.0 - 16.0 - 16.0 x52: - 10.0 - 16.0 - 16.0 x53: - 12.0 - 6.0 - 11.0 x54: - 0.0 - 0.0 - 5.0 x55: - 0.0 - 0.0 - 0.0 x56: - 0.0 - 0.0 - 0.0 x57: - 0.0 - 0.0 - 0.0 x58: - 6.0 - 0.0 - 0.0 x59: - 13.0 - 11.0 - 3.0 x6: - 0.0 - 0.0 - 0.0 x60: - 10.0 - 16.0 - 11.0 x61: - 0.0 - 10.0 - 16.0 x62: - 0.0 - 0.0 - 9.0 x63: - 0.0 - 0.0 - 0.0 x7: - 0.0 - 0.0 - 0.0 x8: - 0.0 - 0.0 - 0.0 x9: - 0.0 - 0.0 - 0.0 --- # Model description [More Information Needed] ## Intended uses & limitations [More Information Needed] ## Training Procedure ### Hyperparameters The model is trained with below hyperparameters.
Click to expand | Hyperparameter | Value | |---------------------|----------| | activation | relu | | alpha | 0.0001 | | batch_size | auto | | beta_1 | 0.9 | | beta_2 | 0.999 | | early_stopping | False | | epsilon | 1e-08 | | hidden_layer_sizes | (100,) | | learning_rate | constant | | learning_rate_init | 0.001 | | max_fun | 15000 | | max_iter | 200 | | momentum | 0.9 | | n_iter_no_change | 10 | | nesterovs_momentum | True | | power_t | 0.5 | | random_state | | | shuffle | True | | solver | adam | | tol | 0.0001 | | validation_fraction | 0.1 | | verbose | False | | warm_start | False |
### Model Plot The model plot is below.
MLPClassifier()
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# How to Get Started with the Model Use the code below to get started with the model.
Click to expand ```python [More Information Needed] ```
# Model Card Authors This model card is written by following authors: [More Information Needed] # Model Card Contact You can contact the model card authors through following channels: [More Information Needed] # Citation Below you can find information related to citation. **BibTeX:** ``` [More Information Needed] ```