Breaking Down Classification Evaluation Metrics
Accuracy, Precision, Recall, ROC Curve, True Positive, False Positive, True Negative, and False Negative
Sep 1, 2018 · 4 min read
The classification problem is a data mining task where the ultimate goal is to accurately predict the categorical response variable. The setup often requires a training data containing a set of attributes and the target and a prediction set for which the algorithm is given a data not seen before. Then, the algorithm analyses the input and generates the prediction output (see…

