Study of Railway Track Irregularity Standard Deviation Time Series Based on Data Mining and Linear Model

Table 1

Analysis of accuracy of the cross level standard deviation.

Units	MSE	MAPE	MSE after residual correction	MAPE after residual correction
K449 + 000 − K449 + 025	0.11	12%	0.08	7.4%
K449 + 100 − K449 + 125	0.14	9.8%	0.07	5.0%
K449 + 200 − K449 + 225	0.09	6.4%	0.07	4.2%
K449 + 325 − K449 + 350	0.11	7.6%	0.06	3.8%
K449 + 425 − K449 + 450	0.08	6.0%	0.06	4.0%
K449 + 475 − K449 + 500	0.12	12%	0.07	7.5%
K449 + 575 − K449 + 600	0.10	7.7%	0.07	5.6%
K449 + 675 − K449 + 700	0.09	4.9%	0.05	2.3%
K449 + 800 − K449 + 825	0.10	5.5%	0.07	3.6%
K449 + 875 − K449 + 900	0.07	4.4%	0.04	2.0%
K449 + 975 − K450 + 000	0.09	7.4%	0.05	3.7%