Other machine learning techniques like decision tree models (rpart and C5.0), random forest and gradient boosting. Most of the models gave a good enough result as an initial benchmark. But there is a need for hyper tuning because of the fact that there is a need for definite and accurate prediction.

Plan of Action

Hyper tuning of models is needed for a better system to be generated. Evaluation of data for newer insights needs to be done for a better understanding of the need of classification.