Machine Learning

May 8th, 2015
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The assignment focuses on the physics dataset of KDD Cup 2004. It has 50000 training instances belonging to two classes 0 and 1, with a good balance of both classes. Each instance has 78 features. There are some missing values as well, which are marked with a ‘?’. There are 100000 test instances, whose classes are unknown.

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Machine LearningIntroduction to Machine Learning - CS5011 Assignment 2 - KDD Cup 2004 Nirmal S Kartha EE09B027 November 30, 20121 IntroductionThe assignment focuses on the physics dataset of KDD Cup 2004. It has 50000 training instances belonging to two classes 0 and 1, with a good balance of both classes. Each instance has 78 features. There are some missing values as well, which are marked with a ?. There are 100000 test instances, whose classes are unknown. The objective of the problem statement is to optimize a classifier with respect to a given measure. For this assignment, we will look to optimize the AUC (Area under ROC). The next section describes the approaches of feature selection that was tried out. Information Gain is compared with PCA.2 Feature Selection2.1 Information GainWe used the J48, a greedy algorithm set to reduce the information gain by the highest

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