Analysing using ANN, Naive Bayes, SVM and Random Forest Algorithm

Comparative Analysis of these models
The graph shows the performance of the models

Models and Performance

These models show their performance before and after sampling

Artificial Neural Network

Artificial neural network (ANN) is a computational model that consists of several processing elements that receive inputs and deliver outputs based on their predefined activation functions

Naive Bayes Algorithm

It is supervised learning algorithm which is based on Bayes theorem and used for solving classification problems

Support Vector Machine

It is a supervised machine learning algorithm which is used for classification and regression problem

Random Forest

Random forest is a Supervised Machine Learning Algorithm that is used widely in Classification and Regression problems