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Table 3 The performance of SVM only trained on the key codons. The SVM models were trained using FCU and RSCU values of the codons listed in Figure 2 as sequence attributes respectively. These codons are thought to play important roles in classification.

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

68.8

77.7

84.2

RSCU

84.6

65.6

75.4

82.1