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ee.ConfusionMatrix.fscore
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
计算混淆矩阵的 Fβ 得分。
用法 | 返回 |
---|
ConfusionMatrix.fscore(beta) | 数组 |
参数 | 类型 | 详细信息 |
---|
此:confusionMatrix | ConfusionMatrix | |
beta | 浮点数,默认值:1 | 一个系数,用于指示召回率比精确率重要多少。标准 F 得分相当于将 β 设置为 1。 |
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最后更新时间 (UTC):2025-07-26。
[null,null,["最后更新时间 (UTC):2025-07-26。"],[[["\u003cp\u003eCalculates the Fβ-score, a measure combining precision and recall, from a confusion matrix.\u003c/p\u003e\n"],["\u003cp\u003eAllows customization of the score through a \u003ccode\u003ebeta\u003c/code\u003e parameter, weighing the importance of recall relative to precision.\u003c/p\u003e\n"],["\u003cp\u003eProvides flexibility by accepting the confusion matrix as input and returning the Fβ-score as an array.\u003c/p\u003e\n"]]],["The `fscore` function calculates the Fβ-score for a given confusion matrix. It accepts a `beta` argument, a float value defaulting to 1, which determines the relative importance of recall versus precision. A higher `beta` emphasizes recall. The function operates on a `ConfusionMatrix` object and returns an array containing the computed Fβ-score. The standard F-score is calculated when β is set to one.\n"],null,["# ee.ConfusionMatrix.fscore\n\nComputes the Fβ-score for the confusion matrix.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|------------------------------------|---------|\n| ConfusionMatrix.fscore`(`*beta*`)` | Array |\n\n| Argument | Type | Details |\n|-------------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| this: `confusionMatrix` | ConfusionMatrix | |\n| `beta` | Float, default: 1 | A factor indicating how much more important recall is than precision. The standard F-score is equivalent to setting β to one. |"]]