Preface: In the field of machine learning, there are two types of problems in terms of results: regression problem and classification/multi-class problem. The ultimate goal of every machine learning engineer is to reduce errors. Therefore, all type of machine learning problem has its measure to quantify error. For the regression problem, the goodness of the model is measured by Mean Squared Error and Root Mean Squared Error. Similarly, the goodness of classification is measured with the help of a confusion matrix (cm). Note: CM paves the way to calculate some of its derivative measures. What is the confusion matrix? As
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