Machine Learning: A Novel Approach to Predicting Slope Instabilities

Table 3

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

#	Actual time of failure	Prediction: MIV	Delta time (hr)	Prediction: ML	Delta time (hr)	MIV – ML (hr)
(1)	3/10/09 7:12	3/10/09 7:42	0.52	3/10/09 6:17	−0.92	−0.40
(2)	3/13/13 9:48	3/13/13 8:45	−1.04	3/13/13 9:52	0.07	0.97
(3)	3/5/12 4:09	3/5/12 4:31	0.38	3/5/12 3:24	−0.75	−0.37
(4)	8/3/13 22:06	8/3/13 22:15	0.16	8/3/13 21:56	−0.17	−0.01
(5)	7/27/12 18:50	7/27/12 19:00	0.18	7/27/12 18:51	0.02	0.16
(6)	10/24/13 22:39	10/24/13 20:58	−1.68	10/24/13 22:40	0.02	1.66
(7)	5/5/14 5:04	5/4/14 20:23	−8.67	5/5/14 4:13	−0.85	7.82
(8)	6/16/14 6:58	6/16/14 4:01	−2.95	6/16/14 6:57	−0.02	2.93
(9)	1/28/12 9:14	1/28/12 9:08	−0.10	1/28/12 8:19	−0.92	−0.82
(10)	10/29/12 12:15	10/29/12 11:58	−0.28	10/29/12 11:59	−0.27	0.01
(11)	9/25/12 8:40	9/25/12 4:33	−4.12	9/25/12 8:44	0.07	4.05
(12)	3/26/13 21:03	3/26/13 23:58	2.92	3/25/13 19:40	−1.38	1.54
(13)	2/24/12 11:27	2/24/12 13:42	2.26	2/24/12 11:25	−0.03	2.23
(14)	3/2/14 4:23	3/2/14 5:48	1.42	3/2/14 4:22	−0.02	1.40
(15)	10/25/12 16:17	10/25/12 15:35	−0.69	10/25/12 15:24	−0.88	−0.19
(16)	4/22/13 13:27	4/22/13 10:02	−3.40	4/22/13 13:31	0.07	3.33
(17)	3/14/10 4:01	3/14/10 4:02	0.03	3/14/10 3:50	−0.18	−0.15
(18)	7/11/13 0:20	7/11/13 0:13	−0.11	7/11/13 0:19	−0.02	0.09
(19)	7/21/11 15:01	7/21/11 14:35	−0.42	7/21/11 15:00	−0.02	0.40
(20)	6/20/09 22:24	6/20/09 23:58	1.57	6/20/09 22:23	−0.02	1.55
(21)	2/9/10 12:38	2/9/10 13:20	0.71	2/9/10 12:30	−0.13	0.58
(22)	1/30/15 18:25	1/30/15 21:11	2.78	1/30/15 16:34	−1.85	0.93