Performance Metrics for Classification in Machine Learning: Understanding Accuracy, Precision, Recall and F1 Score
Introduction In Machine Learning, one essential step is evaluating the performance of a model. For classification models, the Confusion Matrix serves as a fundamental instrument for evaluating the performance. The Confusion Matrix provides a visualization of the results of a model. Based on the information from the Confusion Matrix, some...