---
library_name: sklearn
tags:
- sklearn
- tabular-classification
- skops
widget:
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---
# 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 |
MLPClassifier()In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
MLPClassifier()