In this video I have discussed about the topic of Classifier Performance Evaluation,, Model Evaluation,, Model Selection,, Methods of Evaluating Classifiers Accuracy,, Holdout Method,, Cross Validation Method,, Confusion Matrix,, Accuracy,, Error Rate,, Recall,, Specificity,, Sensitivity,, True Positive Rate,, True Negative Rate,, Precision,, F1-score,, Simple Class Confusion Matrix in Machine Learning. If you like my video then please Subscribe my channel and hit the bell icon,, give a thumbs up,, comment below the description and share this video with your friends and family.
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Lec:11 | Classifier Performance Evaluation | Simple Class Confusion Matrix | ML | Bangla Tutorial | NatokHD