The main purpose of the project is to find the most accurate classifier to distinguish Phishing for Non-Phishing messages. For this you have to selected four classifiers. you will have to provide a literature review underlining past efforts made on similar topics. you will then run text analysis on a number of phishing and non-phishing emails provided to you on zip file, which will be used to train the classifiers. We will use multiple measures to measure the performance of the models, like accuracy, sensitivity, specificity, precision, recall etc. thes results will be summarised and the best performing classifier will be recommended. Screenshots of the R codes should be provifded along with detailed description of the classfiers.