What is Recall ? Classification metric explained. скачать в хорошем качестве

What is Recall ? Classification metric explained.

Recall is a classification metric that evaluates the total number of true positives captured by the model out of all the true positive cases that are present in the ground truth set. To put it in a simple way, for a particular class that you are calculating the Recall for, it is a measure of the percentage of that class instances captured out of total instances it is present. Here are references to understand Recall better: 1. https://developers.google.com/machine... 2. https://www.analyticsvidhya.com/blog/... Please subscribe to ‪@the.ai-loop‬ if you find the content to be helpful.