output.txt

来自「svm算法的实现分类技术」· 文本 代码 · 共 16 行

*** mySVM version 2.1.4 ***
Reading E:\research\人脸识别研究\人脸检测与识别相关文献\支持向量机\mySVM\validation.txt
   read 10 examples, format xya, dimension = 2.
   read 5 examples, format xy, dimension = 2.
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Predicting
Testing examples from file E:\research\人脸识别研究\人脸检测与识别相关文献\支持向量机\mySVM\validation.txt
Average loss  : 0.012233241
Avg. loss pos : 0.030306871	 (2 occurences)
Avg. loss neg : 0.00055245988	 (1 occurences)
Mean absolute error : 0.020789044
Mean squared error  : 0.00071001576
Predicting examples from file E:\research\人脸识别研究\人脸检测与识别相关文献\支持向量机\mySVM\validation.txt
Prediction saved in file E:\research\人脸识别研究\人脸检测与识别相关文献\支持向量机\mySVM\validation-pred.txt
mysvm ended successfully.