Table 3. Classification and test comparison of padé33-SSVM under different training sample functions.

samples	C = 2 Train Predict		C = 4 Train Predict		C = 10 Train Predict		C = 16 Train Predict		C = 20 Train Predict
10	100 0.088	65.385 0.025	100 0.112	65 0.028	100 0.352	65.769 0.028	100 0. 319	66.154 0.028	100 0.228	65.769 0.026
30	96.667 0.104	69.167 0.027	100 0.153	67.5 0.026	100 0.285	69.583 0.030	100 0.474	69.583 0.029	100 0.472	69.583 0.036
50	96 0.133	75.909 0.016	96 0.142	74.546 0.025	96 0.197	74.546 0.023	98 0.223	75 0.033	98 0.376	74.091 0.023
70	88.571 0.127	79.5 0.028	88.571 0.105	79 0.016	92.857 0.166	77 0.027	91.429 0.218	76.5 0.017	91.429 0.246	77.5 0.026
90	88.889 0.127	81.111 0.014	90 0.162	80.556 0.021	90 0.227	78.889 0.033	90 0.179	78.333 0.027	90 0.266	78.889 0.033
130	85.385 0.203	82.143 0.020	85.385 0.219	82.143 0.034	86.154 0.297	82.143 0.032	86.154 0.237	81.429 0.026	86.154 0.417	81.429 0.023
150	86 0.251	82.5 0.021	86.667 0.291	82.5 0.013	86.667 0.316	82.5 0.017	85.333 0.355	81.667 0.013	85.333 0.418	81.833 0.017
210	88.095 0.370	83.333 0.013	87.619 0.448	83.333 0.009	88.095 0.483	81.667 0.014	88.095 0.471	81.667 0.017	87.619 0.528	81.667 0.022
240	86.667 0.490	86.667 0.010	86.667 0.686	86.667 0.017	86.25 0.678	86.667 0.031	86.25 0.869	86.667 0.014	86.25 1.046	86.667 0.017