Glossary · Phase 3 · Machine learning
Binary classification
Classification with exactly two possible answers, such as churn yes or no.
Classification with two classes, like churn yes or no, is called binary classification. It's the most common kind. These models usually don't give a bare yes or no. They give a probability for the "yes" class, like "72% likely to churn".
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Features and labels · Supervised learning: inputs, targets and predictions. About 25 minutes.
Other terms from the same lesson
- 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.
- supervised learning: Learning from examples that come with the right answers.
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