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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: A filter approach for feature selection in classification: application to automatic atrial fibrillation detection in electrocardiogram recordings

Fig. 5

Classification performance (median accuracy, specificity, sensitivity, and MCC values) computed by bootstrap with 1000 replications applied to the validation dataset in function of the number of features and for each feature selection approach (\(\gamma\)-metric, MDA, MDG, and AUC). Interquartile ranges were computed over the bootstrap estimations of the performance indicators as a measure of dispersion

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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