Machine Learning, Data Science, Artificial Intelligence.
positive. • True Negatives (TN): Instances that are actually negative and are correctly predicted as negative. • False Negatives (FN): Instances that are actually positive but are incorrectly predicted as negative. Confusion Matrix Accuracy: Accuracy is the most basic evaluation metric,