![]() ![]() ![]() How to calculate Confusion Matrix for a 2-class classification problem?.What the confusion matrix is and why you need it?.This blog aims to answer the following questions: Confusion Matrix is a performance measurement for machine learning classification. ![]() And it is where the Confusion matrix comes into the limelight. Better the effectiveness, better the performance, and that is exactly what we want. But hold on! How in the hell can we measure the effectiveness of our model. When we get the data, after data cleaning, pre-processing, and wrangling, the first step we do is to feed it to an outstanding model and of course, get output in probabilities. Understanding Confusion Matrix (Image courtesy: My Photoshopped Collection)
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