What is the difference between false positives and false negatives?

What is the difference between false positives and false negatives?

False positives occur when a test incorrectly indicates a condition is present, while false negatives indicate it's absent.

Can you give me an example of each?

Sure! In medical testing, a false positive might mean a healthy person tests positive for a disease, while a false negative means a sick person tests negative.

Why are these concepts important in AI?

They are crucial for evaluating model performance, as high rates of either can lead to serious consequences in decision-making.

How can we reduce false positives and false negatives in AI models?

We can improve data quality, use better algorithms, and fine-tune thresholds to balance sensitivity and specificity.