What do you mean by False Positive and False Negative?
In machine learning, false positives and false negatives refer to errors made by a predictive model. These errors occur when a model predicts a result that is different from the actual result.
A false positive occurs when a model predicts a positive outcome, but the actual result is negative. This means that the model has…