Machine Learning, Data Science, Artificial Intelligence.
Confusion Matrix: A confusion matrix summarizes the performance of a classification model by tabulating the counts of true positives, false positives, true negatives, and false negatives. It is useful for understanding the types of errors made by the model and assessing its performance across