📕 subnode [[@KGBicheno/class imbalanced_dataset]]
in 📚 node [[class-imbalanced_dataset]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Class-Imbalanced_Dataset.md by @KGBicheno
class-imbalanced dataset
Go back to the [[AI Glossary]]
A binary classification problem in which the labels for the two classes have significantly different frequencies. For example, a disease dataset in which 0.0001 of examples have positive labels and 0.9999 have negative labels is a class-imbalanced problem, but a football game predictor in which 0.51 of examples label one team winning and 0.49 label the other team winning is not a class-imbalanced problem.
📖 stoas
- public document at doc.anagora.org/class-imbalanced_dataset
- video call at meet.jit.si/class-imbalanced_dataset