Table 4.

Prediction accuracy improvement, by applying temporal granularity (TG) on timestamp and semantic abstraction (SA) on sensor data.

Classification Algorithm		BaseLine	TG	TG-SA
Naive Bayes	ROC-area	0.82	0.93	0.94
	Precision	0.56	0.65	0.66
	Recall	0.69	0.73	0.74
	F-Measure	0.58	0.65	0.68
SVM	ROC-area	0.79	0.86	0.86
	Precision	0.70	0.69	0.72
	Recall	0.74	0.75	0.78
	F-Measure	0.67	0.73	0.75
Decision Tree	ROC-area	0.72	0.70	0.72
	Precision	0.46	0.46	0.55
	Recall	0.65	0.64	0.68
	F-Measure	0.54	0.54	0.57
Logistic Regression	ROC-area	0.79	0.83	0.89
	Precision	0.66	0.69	0.64
	Recall	0.71	0.75	0.78
	F-Measure	0.64	0.65	0.68