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Table 1 The performance of SVM for differentiating the hot ORFs from the cold ORFs. The SVM models were trained using codon composition, codon bias and amino acid composition as sequence attributes respectively.

From: Support vector machine for classification of meiotic recombination hotspots and coldspots in Saccharomyces cerevisiae based on codon composition

Attributes Sensitivity (%) Specificity (%) OP (%) Accuracy (%)
FCU 86.6 75.0 80.8 85.0
RSCU 84.2 71.9 78.1 82.5
FAAU 66.3 62.5 64.4 65.8