Machine Learning From Scratch - Precision, Recall And F1 Score

Machine Learning From Scratch - Precision, Recall And F1 Score

Recall In Machine Learning is the ability of classifier to find all positive instance. High recall indicate class is correctly recognized. Precision in machine learning is the ability of classifier not to label instance positive that is actually negative. F1 score in machine learning is the harmonic mean of precision and recall. Source code : https://github.com/MoTechStore/YouTub... Playlist :    • Machine Learning From Scratch - Introducti...   #machinelearning #precision #recall #f1score #mlmetrics