Machine Learning: A Novel Approach to Predicting Slope Instabilities

Table 2

Results of the comparison between inverse velocity (IV) method and machine learning (ML) method from 22 different failure examples.

#	Actual time of failure	Prediction: IV	Delta time (hr)	Prediction: ML	Delta time (hr)	IV – ML (hr)
(1)	3/10/09 7:12	3/10/09 7:51	0.65	3/10/09 6:17	−0.92	−0.27
(2)	3/13/13 9:48	3/13/13 9:19	−0.48	3/13/13 9:52	0.07	0.41
(3)	3/5/12 4:09	3/5/12 4:34	0.43	3/5/12 3:24	−0.75	−0.32
(4)	8/3/13 22:06	8/3/13 23:53	1.79	8/3/13 21:56	−0.17	1.62
(5)	7/27/12 18:50	7/27/12 19:38	0.81	7/27/12 18:51	0.02	0.79
(6)	10/24/13 22:39	10/24/13 22:40	0.03	10/24/13 22:40	0.02	0.01
(7)	5/5/14 5:04	5/6/14 2:41	21.62	5/5/14 4:13	−0.85	20.77
(8)	6/16/14 6:58	6/16/14 7:10	0.21	6/16/14 6:57	−0.02	0.19
(9)	1/28/12 9:14	1/28/12 12:04	2.84	1/28/12 8:19	−0.92	1.92
(10)	10/29/12 12:15	10/31/12 18:58	54.73	10/29/12 11:59	−0.27	54.46
(11)	9/25/12 8:40	9/26/12 18:16	33.61	9/25/12 8:44	0.07	33.54
(12)	3/26/13 21:03	4/10/13 23:08	362.10	3/25/13 19:40	−1.38	360.72
(13)	2/24/12 11:27	2/24/12 17:03	5.61	2/24/12 11:25	−0.03	5.58
(14)	3/2/14 4:23	3/2/14 5:55	1.54	3/2/14 4:22	−0.02	1.52
(15)	10/25/12 16:17	10/25/12 16:47	0.51	10/25/12 15:24	−0.88	−0.37
(16)	4/22/13 13:27	4/22/13 13:58	0.52	4/22/13 13:31	0.07	0.45
(17)	3/14/10 4:01	3/14/10 4:16	0.26	3/14/10 3:50	−0.18	0.08
(18)	7/11/13 0:20	7/11/13 0:25	0.10	7/11/13 0:19	−0.02	0.08
(19)	7/21/11 15:01	7/21/11 15:17	0.28	7/21/11 15:00	−0.02	0.26
(20)	6/20/09 22:24	6/21/09 1:09	2.76	6/20/09 22:23	−0.02	2.74
(21)	2/9/10 12:38	2/9/10 14:05	1.47	2/9/10 12:30	−0.13	1.34
(22)	1/30/15 18:25	1/30/15 21:55	3.51	1/30/15 16:34	−1.85	1.66