When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning

Table 10

Performance with stress dataset.

Classifier	Class	Overall accuracy	TP rate	FP rate	Precision	Recall
SMO	Normal	93.4132	0.984	0.773	0.948	0.984
	Serious		0.227	0.016	0.500	0.227
	Overall		0.934	0.723	0.918	0.934
	Overall (norm)		0.606	0.395	0.724	0.606
BayesNet	Normal	92.8144	0.981	0.818	0.944	0.981
	Serious		0.182	0.019	0.400	0.182
	Overall		0.928	0.766	0.909	0.928
	Overall (norm)		0.582	0.419	0.672	0.582
IBk	Normal	92.2156	0.981	0.909	0.939	0.981
	Serious		0.091	0.019	0.250	0.091
	Overall		0.922	0.850	0.893	0.922
	Overall (norm)		0.536	0.464	0.595	0.536
Logistic	Normal	87.4251	0.920	0.773	0.944	0.920
	Serious		0.227	0.080	0.167	0.227
	Overall		0.874	0.727	0.893	0.874
	Overall (norm)		0.574	0.427	0.556	0.574
C4.5	Normal	88.6228	0.929	0.727	0.948	0.929
	Serious		0.273	0.071	0.214	0.273
	Overall		0.886	0.684	0.899	0.886
	Overall (norm)		0.601	0.399	0.581	0.601
Ripper	Normal	91.018	0.958	0.773	0.946	0.958
	Serious		0.227	0.042	0.278	0.227
	Overall		0.910	0.725	0.902	0.910
	Overall (norm)		0.593	0.408	0.612	0.593
NRBNF	Normal	91.6168	0.968	0.818	0.944	0.968
	Serious		0.182	0.032	0.286	0.182
	Overall		0.916	0.766	0.900	0.916
	Overall (norm)		0.575	0.425	0.615	0.575
Crowd reasoning	Normal	89.8204	0.930	0.545	0.960	0.930
	Serious		0.455	0.070	0.545	0.455
	Overall		0.900	0.515	0.934	0.900
	Overall (norm)		0.693	0.308	0.753	0.693
Hybrid reasoning	Normal	92.5150	0.926	0.091	0.993	0.926
	Serious		0.909	0.074	0.465	0.909
	Overall		0.924	0.090	0.906	0.924
	Overall (norm)		0.918	0.083	0.729	0.918