Using under sampling and hyperparameter tuning

as there was a class imbalance both under and over sampling were tested. under sampling was finalized after multiple submissions Checked the f1-scores and accuracy of multiple models after multiple submissions decision tree classifier gave the best result after tuning the hyperparameters and multiple iterations A score of 34.9683 was obtained