Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model

Table 1

Training data and test samples.

Serial number	Bulk density	Cohesive force	Angle of internal friction	Slope angle	Slope height	Pore water pressure ratio	Factor of slope safety
	/(KN·m^3)	/(kPa)	/(°)	/(°)	/(m)
1	20.40	24.91	13.00	22.00	10.70	0.35	1.40
2	19.60	12.00	13.00	11.00	10.70	0.41	1.35
3	21.80	8.62	13.00	22.00	10.70	0.49	1.03
4	20.40	33.52	13.00	22.00	10.70	0.20	1.28
5	18.80	15.32	13.00	11.00	10.70	0.38	1.63
6	18.80	0.00	13.00	11.00	10.70	0.45	1.05
7	25.00	55.00	13.00	22.00	10.70	0.25	1.71
8	25.00	63.00	13.00	22.00	10.70	0.25	1.49
9	25.00	63.00	13.00	22.00	10.70	0.25	1.45
10	25.00	48.00	13.00	22.00	10.70	0.25	1.62
11	31.30	68.60	13.00	33.00	10.70	0.25	1.20
12	31.30	38.60	13.00	33.00	10.70	0.25	1.20
13	31.30	58.80	13.00	33.00	10.70	0.25	1.20
14	31.30	58.80	13.00	33.00	10.70	0.25	1.20
15	31.30	68.00	13.00	33.00	10.70	0.25	1.20
16	31.30	68.00	13.00	33.00	10.70	0.25	1.20
17	21.40	0.00	13.00	22.00	10.70	0.50	1.03
18	27.30	14.00	13.00	22.00	10.70	0.25	1.25
19	18.80	14.36	13.00	11.00	10.70	0.45	1.11
20	21.50	6.94	13.00	22.00	10.70	0.38	1.01
21	14.00	11.97	13.00	11.00	10.70	0.45	0.63
22	18.00	24.00	13.00	11.00	10.70	0.12	1.12
23	23.00	0.00	13.00	22.00	10.70	0.30	1.20
24	22.40	100.00	13.00	22.00	10.70	0.25	1.30
25	22.40	100.00	13.00	22.00	10.70	0.40	0.90
26	20.00	20.00	13.00	22.00	10.70	0.50	0.83
27	20.00	0.00	13.00	22.00	10.70	0.25	0.79
28	20.00	0.00	13.00	22.00	10.70	0.50	0.67