Binary classification

Why is it important to know if something is a disease or not?

Binary classification

Why is it important to know if something is a disease or not?

Imagine you're a doctor and you need to quickly tell if a patient has a disease to decide on treatment.

In binary classification, we're trying to sort things into two groups. It's like deciding if a patient has a disease (positive) or doesn't (negative).

Example

Out of 100 patients, 80 have the disease and 20 don't. If we correctly identify 75 patients, we get 60 true positives and 15 true negatives.

Remember this

The F1 score helps us understand how well we're identifying true positives and true negatives, balancing both.

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