# Model description
This is a Decision tree model trained name based on gender probability dataset
## Intended uses & limitations
This model is made for educational purposes and is not ready to be used in production.
## Training Procedure
[More Information Needed]
### Hyperparameters
Click to expand
| Hyperparameter | Value |
| :----------------------: | :---: |
| ccp_alpha | 0.0 |
| class_weight | None |
| criterion | gini |
| max_depth | 6 |
| max_features | None |
| max_leaf_nodes | None |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| monotonic_cst | None |
| random_state | None |
| splitter | best |
DecisionTreeClassifier(max_depth=6)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
| criterion | 'gini' | |
| splitter | 'best' | |
| max_depth | 6 | |
| min_samples_split | 2 | |
| min_samples_leaf | 1 | |
| min_weight_fraction_leaf | 0.0 | |
| max_features | None | |
| random_state | None | |
| max_leaf_nodes | None | |
| min_impurity_decrease | 0.0 | |
| class_weight | None | |
| ccp_alpha | 0.0 | |
| monotonic_cst | None |