Research Article

Prediction of IL4 Inducing Peptides

Table 3

The performances of SVM models developed using various compositional features of peptides on rbf-kernel. The optimized parameters have been given in the brackets.


Thres.
AAC ( : 0.001; : 3; : 1)DPC ( : 0.001; : 3; : 1)AAP ( : 0.1; : 1; : 1)
Sen.Spec.Acc.MCC.Sen.Spec.Acc.MCC.Sen.Spec.Acc.MCC.

−197.2314.5659.960.2298.678.2257.90.1799.780.8155.160.04
−0.996.5718.0661.180.2497.6812.2659.170.2994.8556.560.12
−0.895.4620.7561.790.2597.0117.2561.060.2498.897.0157.470.15
−0.794.0324.3962.640.2695.6921.762.330.2698.569.758.510.19
−0.692.3727.3663.060.2694.4725.8863.550.2997.912.9459.60.21
−0.590.4930.5963.490.2792.2628.7163.610.2896.4616.0460.210.22
−0.488.3833.8363.790.2790.1533.5664.640.2995.6919.6861.420.24
−0.385.6237.263.790.2686.1738.2764.580.2894.2523.8562.520.26
−0.282.4141.2463.850.2683.343.5365.370.2991.9228.9863.550.27
−0.178.8745.8263.970.2680.0948.6565.920.388.3834.2363.970.27
075.7749.663.970.2675.4454.4565.980.3183.7442.5965.190.29
0.173.1254.0464.520.2870.2459.765.490.377.9954.8567.560.34
0.269.1459.4364.760.2965.4965.965.670.3170.5867.2569.080.38
0.363.9463.8863.910.2860.470.6265.010.3149.1279.1162.640.29
0.458.367.7962.580.2654.7674.5363.670.330.9788.0156.680.23
0.553.173.1862.150.2747.7978.4461.60.2721.1391.6452.920.18
0.648.0176.5560.870.2539.2782.3558.690.2415.2794.4750.970.16
0.740.8280.1958.570.2332.0886.2556.50.2111.0696.2349.450.14
0.834.8584.157.050.2126.5589.6254.980.27.397.8448.120.12
0.928.8787.0655.10.1919.9192.1852.490.174.6598.7947.080.1
123.4590.0353.460.1812.9495.0149.940.142.2199.4646.050.07