What do you mean by False Positive and False Negative?

AAWEG I *We put ghosts in machines *
2 min readApr 17
src: Google ML course

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.

FALSE POSITIVE

A false positive occurs when a model predicts a positive outcome, but the actual result is negative. This means that the model has…

AAWEG I *We put ghosts in machines *

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