Model accuracy can be measured using metrics such as confusion matrix, ROC curve, and precision-recall curve.

• Confusion matrix shows true positives, true negatives, false positives, and false negatives...read more

There are different metrics that can be used to measure the accuracy of the model based on the type of problem at hand.

Evaluation metric for regression problem:

1. MSE (Mean square error)

2. RMSE (Root mean s...read more