Divyansh_Rai_submission

The categorical columns in the training data are first one hot encoded then using The decision tree classifier with categorical columns as features and attack as the target column,The f1 score is calculated and found to be 0.53 with the sample submission.csv and then the model with same categorical columns as features is trained using random forest and f1 score with respect to sample submission was found to be 0.54.The model is then trained using numerical cols also as features but then accuracy,and f1 score falls to 0.46.Therfore the F1 score calculated with respect to the sample submission is found to be 0.54 using Random Forest Classifier ,with one hot encoded Categorical columns as features and attack as target