After fitting the model, evaluate its performance using metrics like confusion matrix, precision, recall, and the ROC curve Libraries likesklearnprovide functionalities to compute these metrics easily

Question

After fitting the model, evaluate its performance using metrics like confusion matrix, precision, recall, and the ROC curve  Libraries likesklearnprovide functionalities to compute these metrics easily

SolutionInn · Accepted Answer

The Answer is in the image, click to view ...

Question: After fitting the model, evaluate its performance using metrics like confusion matrix, precision, recall, and the ROC curve. Libraries likesklearnprovide functionalities to compute these metrics

Step by Step Solution