BMC Medical Informatics and Decision Making

Table 2 The different techniques with their corresponding accuracy and κ-score on the migbase dataset

From: A decision support system to follow up and diagnose primary headache patients using semantically enriched data

Algorithm	Accuracy	Cohen κ
GENESIM	0.983510±0.0095	0.958342±0.0237
c4.5	0.981148±0.0087	0.957122±0.0188
RF	0.981148±0.0087	0.957091±0.0189
LR	0.979992±0.0079	0.953758±0.0181
XGB	0.978781±0.0080	0.951446±0.0180
SVM	0.977556±0.0122	0.948858±0.0273
KNN	0.976463±0.0144	0.945615±0.0333
CART	0.976435±0.0065	0.946280±0.0141
NN	0.951250±0.0189	0.916672±0.1471

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ISSN: 1472-6947

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