Azure ML Lab Midterm 1 of CalStateLA

In order to improve AUC I used the followoing: - Used Clip Values in order to get rid of outliers, such as 99999 or 99 in some fields. Particularly used Percentile of 90% - Used Edit Metadata and changed most columns to categorical type, as they had few unique values, which clearly means that those are categorical. - Added column in Select Column Database “DG1”, which was initially omitted. Looked like a year of birth and overall that was very valuable field for a model. - Changed Machine Learnign model to Two – Class Boosted Decision Tree, which performed better that Jungle - Added Permutation Feature Importance and got rid of several values of Score 0.