[英]How is “accuracy” calculated using Libsvm - SVM_Predict.exe
I am using the LIBSVM for the first time. 我是第一次使用LIBSVM。 I was able to train a data(for images) and my model is ready "trainingdata.svm.model"
我能够训练一个数据(用于图像),并且我的模型已经准备好“ trainingdata.svm.model”
Now, when I run my classification against an unknown test data it is giving me two files: 1. trainingdata.svm.prediction (This file contains 1's and 0's) against my each of test data. 现在,当我对未知的测试数据运行分类时,它给了我两个文件:1.对我的每个测试数据进行trainingdata.svm.prediction(此文件包含1和0)。 2. It is giving me Accuracy = 8 %
2.它给了我精度= 8%
THE QUESTION: 1. How do I interpret the 1s and 0s in my "trainingdata.svm.prediction". 问题: 1.如何解释“ trainingdata.svm.prediction”中的1和0。 Note: I am classifying genders where 1 could be male and 0 could be female.
注意:我正在对性别进行分类,其中1可能是男性,0可能是女性。
Thanks 谢谢
The file "trainingdata.svm.prediction" is predicting the labels 1 and 0 for your set (1 means the sample was predicted to be male, 0 is female). 文件“ trainingdata.svm.prediction”正在为您的集合预测标签1和0(1表示样本被预测为男性,0表示女性)。
It assumes all the labels belong to class index 0, I believe. 我相信,它假定所有标签都属于类索引0。
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