Machine Learning, Python, Data Science, Artificial Intelligence, Deep Learning.
instances. False Positive (FP): The model incorrectly predicts positive instances when the true label is negative (Type I error). False Negative (FN): The model incorrectly predicts negative instances when the true label is positive (Type II error). By examining the confusion matrix, we can