Smartpredict

Added
- KernelExplainer in place of Explainer
- Added .shape_values in place of .values

Added
- Added comprehensive model assessment metrics to evaluate machine learning models.
- Accuracy
- Precision
- Recall
- F1 Score
- Confusion Matrix
- ROC AUC
- Classification Report

Updated
- Updated Github release.

Updated
- Updated dependencies to latest versions:
- scikit-learn
- numpy
- pandas
- shap
- optuna
- xgboost
- lightgbm
- catboost
- tensorflow
- torch

Added
- Initial release of SmartPredict.

Added
- Core functionalities for model training, evaluation, and selection.
- Support for scikit-learn, numpy, pandas, shap, optuna, xgboost, lightgbm, catboost, tensorflow, and torch.