Prediction of heart disease and classifiers’ sensitivity analysis

BMC Bioinformatics

Table 2 Different Classifiers Results

Classifier Used	Accuracy %	kappa	RAE	ROC	MAE	Classification time In seconds
NaiveBayes	83.122	0.6611	39.2	0.902	0.1959	0.02
SGD	84.3902	0.6866	31.24	0.842	0.1561	0.14
SVM	84.1951	0.6825	31.63	0.84	0.158	0.19
K-NN (N = 1)	99.7073	0.9941	0.69	0.994	0.0035	0.01
Decision Table	93.6585	0.8734	56.79	0.986	0.2838	0.27
Adaboost	84.2927	0.6857	41.88	0.925	0.2093	0.06
JRip	97.2683	0.9454	6.31	0.996	0.0315	0.44
J48	98.0488	0.961	4.11	0.996	0.0205	0.27

ISSN: 1471-2105