Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks

Journal of Big Data

Table 1 Distribution of regional cable cuts and the cause of the cut

Cause of fiber cable cut	Cut prevalence in the regions
Cause of fiber cable cut	R1	R2	R3	R4	R5	R6	R7	R8
Road expansion	356	118	319	193	251	59	108	43
Road construction	201	72	94	92	139	73	67	58
Private developer	64	83	89	72	173	45	79	21
Cable defect	17	9	3	0	2	0	8	11
Water pipe laying	138	36	103	84	87	31	73	15
Rodent chewing	11	7	2	0	3	0	4	0
Dig ups	134	49	78	77	53	18	51	37
Railway construction	22	0	0	0	79	0	0	0