A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace

Table 11

Classifier performance when trained with generalized walking data.

(a) Performance by cumulative indexes

Correctly classified instances	92.68%
Incorrectly classified instances	7.32%
Kappa statistic	0.829
Mean absolute error	0.034
Root mean squared error	0.143
Relative absolute error	23.16%
Root relative squared error	52.71%

(b) Confusion matrix

	Classified as
	Walking	Jogging	Upstairs	Downstairs	Sitting	Standing
Walking	10221	15	125	116	15	17
Jogging	46	1662	7	9	0	0
Upstairs	253	33	385	70	0	2
Downstairs	231	6	53	328	0	0
Sitting	15	0	1	1	366	7
Standing	14	0	0	0	12	316

(c) Detailed accuracy by class

Precision	Recall	-score	Class
0.948	0.973	0.96	Walking
0.969	0.964	0.966	Jogging
0.674	0.518	0.586	Upstairs
0.626	0.531	0.574	Downstairs
0.931	0.938	0.935	Sitting
0.924	0.924	0.924	Standing
0.921	0.927	0.923	Weighted average