Have you been in a situation where you expected your machine learning model to perform really well but it sputtered out a poor accuracy? You've done all the hard work – so where did the classification model go wrong? How can you correct this? There are plenty of ways to gauge the performance of your classification model but none have stood the test of time like the confusion matrix. It helps us evaluate how our model performed, where it went wrong and offers us guidance to correct our path.
Jun-19-2021, 01:45:33 GMT