Performance Metrics For Classification How Do We Evaluate Classification Models

Summary

Classification performance metrics One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how confusion matrix in ML, confusion matrix terminology, ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ... Accuracy: The proportion of correctly predicted observations to the total observations. It's a good MachineLearning One of the most important Please join as a member in my channel to get additional benefits materials in Data Science, live streaming for Members and ... GitHub repository: github.com/andandandand/practical-computer-vision 0:00 -