What is cost-sensitive learning in AI?

What is cost-sensitive learning in AI?

Cost-sensitive learning is a machine learning approach that takes into account the costs associated with different types of errors.

Can you give me an example of where this is applied?

Sure! It's often used in medical diagnosis, where false negatives can be more costly than false positives.

How does it differ from traditional learning methods?

Traditional methods treat all errors equally, while cost-sensitive learning prioritizes minimizing more costly errors.

What techniques are used in cost-sensitive learning?

Common techniques include cost-sensitive decision trees, re-weighting training samples, and using cost-sensitive loss functions.