Implemented random forest, decision trees, k-nearest neighbors, and logistic regression models against two data sets consisting of site metrics and certificate information to come up with a classification model for phishing sites. Found random forest to be most accurate based on metrics like ROC Curve, Confusion Matrix, and AUC.
sagardnshah/phising-classifier-with-SciKit
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