如何使用SVM查找精度，召回率和准确性? [英] How to find the Precision, Recall, Accuracy using SVM?

问题描述

重复计算精度，召回率和F得分

我有一个带有文本描述和分类级别(即levelA和levelB)的输入文件.我想编写一个可测量精度，召回率和准确性的SVM分类器.我看了 scikit 和 LIBSVM ，但我想逐步了解更多信息.

I have a input file with text description and classified level (i.e.levelA and levelB). I want to write a SVM classifier that measure precision, recall and accuracy. I looked at scikit and LIBSVM but I want to know more step by step.

任何示例代码或基本教程都将非常不错.感谢您提前提出任何建议.

Any sample code or basic tutorial would be really nice. Thanks for any suggestion in advance.

推荐答案

这些性能指标很容易从预测标签和真实标签中获取，作为后期处理步骤:

These performance measures are easy to obtain from the predicted labels and true labels, as a post-processing step:

1. 精度= TP/(TP + FP)
2. 召回= TP/(TP + FN)
3. 精度=(TP + TN)/(TP + TN + FP + FN)

其中TP，FP，TN和FN分别为真阳性，假阳性，真阴性和假阴性的数量.

With TP, FP, TN, FN being number of true positives, false positives, true negatives and false negatives, respectively.

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