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False negatives (FN): We predicted no they will not leave, but they actually leave (Also known as a “Type II error.”) i.e 5

False positives (FP): We predicted yes they will leave, but they don’t leave. (Also known as a “Type I error.”) i.e 10

The output of a Logistic regression model is a probability. We can select a threshold value. If the probability is greater than this threshold value, the eve…