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(Created page with "===Introduction== Machine learning models use classification models to predict whether an input belongs in a certain class or not. Unfortunately, these predictions aren't always correct and sometimes the model may indicate that an input belongs in one class when it actually doesn't - this is known as a false positive and the rate at which false positives occur is known as the false positive rate (FPR). ==What is false positive rate (FPR)?== False Positive Rate (FPR) is...") |
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