Correcting Air-Pressure Data Collected by MEMS Sensors in Smartphones

Table 2

Results from the linear-regression analysis throughout South Korea, comparing the result before outlier removal with that after outlier removal.

	Before outlier removal	After outlier removal
MAE	1.69	1.55
RMSE	2.44	2.08
TN	2,654,548	2,636,328

MAE: mean absolute error, RMSE: root mean square error, and TN: total number of instances.