Glossary · Phase 3 · Machine learning
Multiclass classification
Classification with more than two possible answers, such as sorting customers by their favorite product category.
Try it now
One score per class, turned into probabilities that add up to 1. Drag a score and watch every probability move.
Learn it properly
Multiclass classification · Softmax and cross-entropy for more than two classes. About 30 minutes.
Other terms from the same lesson
- confusion matrix: A table counting a classifier's predictions against the true answers: one row per true class, one column per predicted class. For yes/no it shows true and false positives and negatives.
- majority baseline: The accuracy you get by always predicting the most common class. A model has to beat it to be worth anything.
- softmax regression: Logistic regression for more than two classes: one score per class, turned into probabilities by softmax.
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