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This project forked from axsjo/benchmark-problems-in-machine-learning-using-phishingdataset

The objective of the project is to implement some of the popular methodologies under supervised learning for solving the machine learning problem on Phishing dataset. The main aim of the project is to solve the multiclass classification problem using supervised learning methods like SVM, Neural Networks, Naïve Bayes, Decision Tree and Random Forest