This is the 5th project as part of Udacity's Data Analyst Nanodegree. In this project, you will play detective, and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.

###Final Results:

KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_neighbors=5, p=2, weights='distance') Accuracy: 0.86969 Precision: 0.63235 Recall: 0.36550 F1: 0.46324 F2: 0.39919 Total predictions: 13000 True positives: 731 False positives: 425 False negatives: 1269 True negatives: 10575