![Performance Metrics for Classification in Machine Learning: Understanding Accuracy, Precision, Recall and F1 Score](/content/images/size/w600/2024/02/Post---Machine-Learning---Performance-Metrics.png)
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...