Confusion Matrix and Cost Matrix

A Confusion Matrix is an important tool to measure accuracy of a classification algorithm. It compares predicted class of an outcome and actual outcome.  Some example of classification. Scenario 1: Credit Risk Based on a credit risk scorecard, application for credit card are classified as “Good” and “Bad”. “Good” indicates applicants paying back dues on ... Read moreConfusion Matrix and Cost Matrix