Table 2.

Average accuracy of algorithms’ performance.

Sensor ID	Decision		Naïve	Multilayer
	Trees	k-NN	Bayes	Perceptron	One-Shot	SVM
S1	0.2160	0.3678	0.3700	0.4408	0.4687	0.4853
S2	0.3565	0.6192	0.6055	0.7143	0.7575	0.7492
S3	0.4985	0.8692	0.8165	0.9142	0.9465	0.9438
S4	0.3565	0.6192	0.6055	0.7143	0.7575	0.7492
S5	0.2825	0.4892	0.4845	0.5700	0.6080	0.6120
S6	0.6388	0.9877	0.9495	0.9887	0.9970	0.9973
S7	0.6102	0.9788	0.9257	0.9795	0.9932	0.9928
S8	0.2825	0.4892	0.4845	0.5700	0.6080	0.6120
S9	0.2808	0.4895	0.4855	0.5703	0.6077	0.6122
Average	0.3914	0.6566	0.6364	0.7180	0.7493	0.7504

The highest accuracy for each sensor with the considered algorithms is in bold.