Phishing is a cybercrime in which a target or targets are contacted by email, telephone or text message by someone posing as a legitimate institution to lure individuals into providing sensitive data such as personally identifiable information, banking and credit card details, and passwords.
Do we need to use only Random forest classifier for solving the problem? This is because when i checked the leadership i could see better accuracies of around 95% but i am stuck at only 77%. Kindly please let me know…
Use XGBoost/CatBoost/lgbm classifier models. It will give you accuracy of 95%. Later do some hyperparameter tunning using GridSearchCV to increase the accuracy.