The figure above demonstrates the unbalancing in the data between phishing and not phishing classes extracted from the dataset. The table above demonstrates scores of the most important metrics in classification. We can notice that The Random Forest got the highest score. Receiver Operating Characteristic curve aka ROC curve is a common method for evaluating the equality of a binary classifier, it compares the presence of true positives and false-positive at every probability threshold. According to the above figure, Random Forest and decision tree predicted the most observations correctly compared with the other classifiers.