 Identified which Enron employees are more likely to have committed fraud using Machine Learning and public Enron financial and email data.

 The final algorithm performance is Precision: 0.51983 Recall: 0.47850 .(the criteria of each> 0.3)

 Technologies used: Python,Sklearn, Crossvalidation, Adaboost, DecisionTree, Feature selection, GridSearchCV.