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Table 3 Test results for EC family classification using Support Vector Machines

From: Enzyme classification with peptide programs: a comparative study

EC family Accuracy Precision Recall MCC
1.1.1.1 98% 80% 86% 0.82
1.1.1.25 99% 93% 91% 0.92
1.8.4.11 100% 100% 100% 1.00
2.1.2.10 100% 100% 100% 1.00
2.3.2.6 100% 100% 100% 1.00
2.5.1.55 100% 100% 100% 1.00
2.7.1.11 100% 98% 98% 0.97
2.7.1.21 99% 93% 88% 0.90
2.7.2.1 99% 96% 100% 0.97
2.7.7.27 100% 100% 100% 1.00
3.1.26.11 99% 98% 98% 0.97
3.5.4.19 99% 96% 98% 0.96
4.1.1.31 100% 95% 100% 0.96
4.2.3.4 99% 100% 95% 0.97
5.1.1.1 100% 100% 100% 1.00
5.1.1.3 97% 95% 95% 0.93
5.3.1.24 98% 86% 95% 0.89
6.3.4.3 100% 100% 100% 1.00
Average 99% 96% 97% 0.96
  1. All results were obtained with SVMs using polynomial kernels, except for families 2.5.1.55 and 2.7.7.27, which were obtained with radial basis kernels. The training results were perfect for all EC families.