CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments

Table 10 Comparative results for process modeling of human activities on dataset1

Metric	S1	S2	S3	S4	S5	S6	S7
	RF
Trace fitness	0.78	0.79	0.59	0.60	0.59	0.64	0.69
Generalization	0.65	0.65	0.48	0.57	0.34	0.60	0.61
	HMM
Trace Fitness	0.80	0.80	0.64	0.67	0.45	0.64	0.68
Generalization	0.68	0.69	0.62	0.60	0.29	0.58	0.65
	ECOC (AB)
Trace fitness	0.85	0.88	0.81	0.80	0.82	0.83	0.86
Generalization	0.77	0.75	0.69	0.70	0.59	0.71	0.70
	LSTM
Trace fitness	0.87	0.90	0.82	0.79	0.82	0.82	0.84
Generalization	0.78	0.79	0.68	0.71	0.55	0.69	0.65
	AL
Trace fitness	0.92	0.97	0.89	0.87	0.87	0.88	0.90
Generalization	0.84	0.87	0.81	0.80	0.71	0.80	0.83