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 select four classifiers. We will need to provide a literature review underlining past efforts made on similar topics. you will the run text analysis on a number of phishing and non-phishing emails, which will be used to train the classifiers. you 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 should recommended. Screenshots of the R codes should be provifded along with detailed description of the classfiers.