遇见数据集

Performance of the SVM phenotype recognition model in 10-fold cross-validationa.

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Figshare2015-12-02 更新2026-04-29 收录
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aThe overall recognition accuracy is 97.40±0.95%.bThe class precision is the percentage of correct classified samples in a predicted class. For example the precision of the (predicted) hatched class is given by 524/(524+4+8) = 97.76%.cThe class recall is the proportion of the samples in the class that were correctly identified. For example the recall of (true) hatched class is 524/(524+4+0) = 99.24%.

a. 整体识别准确率为97.40±0.95%。 b. 类别精确率指某一预测类别内被正确分类的样本占比。示例:(预测为)阴影类别的精确率为524/(524+4+8)=97.76%。 c. 类别召回率指某一真实类别内被正确识别的样本占比。示例:(真实为)阴影类别的召回率为524/(524+4+0)=99.24%。

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2015-12-02
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