Question

Caculating roc curve in multi label classification keras

Answer 1

Answer:

Recall is calculated as the ratio of the number of true positives divided by the sum of the true positives and the false negatives. Recall is the same as sensitivity. ... A precision-recall curve is a plot of the precision (y-axis) and the recall (x-axis) for different thresholds, much like the ROC curve.

Answer 2

Answer:

KERA VRIKSHAM

Explanation: