Project for Prof. Robert Haralick's Machine Learning Course at CUNY Graduate Center. The goal was to design a labeled two class data set of 10-dimensional vectors that has test set classification accuracy less than 60% on some popular classifiers. However, our decision rule was designed such that it can perform with greater than 90% accuracy on the test set.