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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