Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine

Table 4

Obtained prediction results by ST-LSSVM for training data.

L (m)	D (cm)	(kPa)	Su (kPa)	fs (kPa)	Predicted fs (kPa)
14.1	15	96	26	27	24.26
13	15	102	15	26	21.11
11.7	20	54	23	14	19.44
17.5	14.3	87	23	26	20.78
15.9	15	49	17	12	14.56
8.1	13.5	37	13	11	13.92
7.7	16.5	32	15	9	14.56
10	13.5	33	10	12	11.64
12	15.5	39	12	10	12.71
10.2	22	19	15	8	12.44
24.2	15	146	19	29	25.28
17.1	15	109	57	24	36.41
12.7	23.2	38	19	17	15.66
10	17	82	36	28	28.42
14.3	26	89	22	22	23.48
22.5	47	60	45	23	24.50
5.5	30.5	44	30	38	23.94
19.2	61	142	31	30.7	40.21
15.2	35.6	448	104	109.2	106.91
12.2	35.6	718	162	162	164.05
43.9	30.5	162	38	30	27.80
96	61	354	80	44	46.75
73.8	61	273	67	47.6	44.32
22.6	76.7	651	170	192.1	190.33
30.5	32.5	153	45	29.3	35.04
45.7	32.5	148	52	21.8	26.45
13.7	32.5	112	45	42.3	36.28
5.5	16.9	51.6	129.5	76.7	74.83
29	33	105	39	39.8	26.10
12.2	16.8	33	16	9.9	13.67
14	35.1	59	30	23.4	23.00
39.6	27.4	297	165	80.9	76.79
30.5	61	91	52	30.7	28.26
25.9	32.5	99	61	34.2	33.14
13.1	27.4	80	110	53.9	59.14
20.4	61	105	208	91.5	92.34
9.1	45	54	144	73.4	74.65
16.8	61	87	100	55	51.42
13.7	32.5	112	137	64.4	73.89
18.3	76.2	115	335	154.1	153.65
4.6	16.9	43	120.5	84.6	70.20
33.6	32.5	121.4	35.4	30.4	25.65
33.6	32.5	108	48.8	27.1	26.39
20.3	32.5	158.2	112.8	53	63.12
30.5	51	102.8	24.4	23.5	24.02