例如，在一个包含三个类别的多类分类问题中，您需要对标签为 A、B 和 C 的示例进行分类，您可以将该问题转换为两个单独的二元分类问题。首先，您可以创建一个二元分类器，使用标签 A+B 和标签 C 对示例进行分类。然后，您可以创建第二个二元分类器，使用标签 A 和标签 B 重新对标记为 A+B 的示例进行分类。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2024-11-06。"],[[["Multi-class classification extends binary classification to handle more than two classes, often by breaking the problem down into multiple binary classifications."],["In multi-class classification, each example is assigned to only one class, like classifying handwritten digits (0-9)."],["If an example can belong to multiple classes, it's called multi-label classification, which is a distinct but related concept."],["Multi-class classification can be achieved by creating a series of binary classifiers, each distinguishing between a subset of classes."]]],[]]
