Glossary · Phase 3 · Machine learning
Supervised learning
Learning from examples that come with the right answers.
Try it now
The target decides which models and which scores you can use.
Learn it properly
Features and labels · Supervised learning: inputs, targets and predictions. About 25 minutes.
Other terms from the same lesson
- binary classification: Classification with exactly two possible answers, such as churn yes or no.
- classification: Predicting which category something belongs to, such as spam or not spam.
- feature: One input column a model learns from, such as a customer's age or number of orders.
- label: The right answer for an example, which the model learns to predict.
- regression: Predicting a number, such as next month's sales.
Never trained an AI?
Teach a small one to write, right in your browser. It takes about 20 seconds and needs no account.