Comparisions of different classifier models in terms of accuracy, performance.
Decision Tree: The accuracy achieved was 100%. Adavntages:Its simple to understand and visualize
Random Forest:It is a complex algorithm. Cross Validation was one the techniques to do fine tuning. Dividing the data into K folds and training them.
Logistic Regression Naive Bayes Stochastic Gradient Descent K- Nearest Neighbors Support Vector Machine