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

Table 12

Final bagging active/not active classifier performance, also considering the same classifier with a different smartphone position (upside down).

(a) Performance by cumulative indexes

Correctly classified instances	98.82% (98.83%)
Incorrectly classified instances	1.18% (1.17%)
Kappa statistic	0.969 (0.968)
Mean absolute error	0.019 (0.023)
Root mean squared error	0.09 (0.1)
Relative absolute error	5.26% (6.17%)
Root relative squared error	21.94% (23.18%)

(b) Confusion matrix

	Classified as
	Active	Not active
Active	13853 (13825)	83 (111)
Not active	134 (105)	4339 (4368)

(c) Detailed accuracy by class

Precision	Recall	-score	Class
0.99 (0.992)	0.994 (0.992)	0.992 (0.992)	Active
0.981 (0.975)	0.97 (0.977)	0.976 (0.976)	Not active
0.988 (0.988)	0.988 (0.988)	0.988 (0.988)	Weighted average