Five-fold cross validation results on single SVM model trained with various features.

Yi-Ju Chen (213642)
Cheng-Tsung Lu (149125)
Kai-Yao Huang (149129)
Hsin-Yi Wu (718313)
Yu-Ju Chen (213651)
Tzong-Yi Lee (10134)

Publication date

April 2015

DOI

10.1371/journal.pone.0118752.t002

Abstract

<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Matthews Correlation Coefficient.</p><p>Five-fold cross validation results on single SVM model trained with various features.</p

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Five-fold cross validation results on single SVM model trained with various features.

Abstract

Extracted data

Five-fold cross validation results on single SVM model trained with various features.

Abstract

Extracted data

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