Classification

Classification is a common supervised-learning task in which a model predicts a class label. Binary classification uses two classes, while multiclass classification chooses among more than two.

Japanese terms

1. Classification — 分類ぶんるい: The task of assigning an input to one or more discrete categories.
2. Class label — クラスラベル: The category name or identifier predicted in a classification task.
3. Binary classification — 二値分類にちぶんるい: Classification in which each example is assigned to one of two classes.
4. Multiclass classification — 多たクラス分類ぶんるい: Classification in which an example is selected from more than two possible classes.

Related topics

Regression predicts continuous values instead of discrete classes.