Hi:
I am a newer in using R for data mining, and find the "e1071" pakage an
excellent tool in doing data mining work!
what frustrated me recently is that when I using the function "svm" and using
the "cross=10" parameters, I got all the "accuracies" of the model greater than
1. Isn't that the accuracy should be smaller than 1? so I wander how, the
accuracy of the cross validation is calculated, and what's the meaning of the
accuracy?
summary of the trained svm model as follows:
> summary(model)
Call:
svm(formula = y ~ x, cachesize = 100, gamma = obj$best.parameters$gamma,
cost = obj$best.parameters$cost, cross = 10)
Parameters:
SVM-Type: C-classification
SVM-Kernel: radial
cost: 4
gamma: 0.5
Number of Support Vectors: 1784
( 892 892 )
Number of Classes: 2
Levels:
high low
10-fold cross-validation on training data:
Total Accuracy: 6.726457
Single Accuracies:
2.247191 7.303371 8.379888 6.179775 4.469274 6.741573 5.617978 11.73184
8.426966 6.145251
Help me urgent, waiting for your reply!
Best Wishes!
2007-10-27
Sincerely!
Nan Qiao
Graduate student, Jing-Dong Jackie Han's Lab
Institute of Genetics and Developmental Biology
Chinese Academy of Sciences
Datun Road, Beijing 100101
P.R. China
TEL: +86-(0)10-6484 5797
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