Required Libraries: numpy, matplotlib
Sample run1: (default threshold size = 1000) python evaluate [similariy_matrix] [class_labels]
Sample run2: (to change precision) python [script_name] [similariy_matrix] [class_labels] [threshold_size]
The program outputs the EER (equal error rate) and corresponding EER threshold
It also plots the geniune impostor score density and ROC curve.
