Aug 18 in 😂 Fun
False positive and false negative explained
A fun way to understand false positives and false negatives:
- False Positive: This occurs when a model incorrectly predicts something as true when it is not. (Type I error, like predicting a man is pregnant.)
- False Negative: This happens when the model fails to detect something that is actually true. (Type II error, like telling a pregnant woman she is not pregnant.)
Read LinkedIn post
10
6 comments
False positive and false negative explained
skool.com/data-alchemy
Your Community to Master the Fundamentals of Working with Data and AI — by Datalumina®
Leaderboard (30-day)
1
+615
2
+552
3
+460
4
+364
5
+328
powered by