Confusion Matrix: A Clear Way to Visualize Model Performance in Classification
A confusion matrix is a powerful tool used to evaluate the performance of classification models. It provides a clear and …
f1-score
Evaluating Classification Models: Beyond Accuracy Metrics
Classification models are widely used in machine learning to classify data into different categories. One of the most commonly used …