Performance measurement (10-fold-crossvalidation estimation) of the proposed algorithms based on HRV features.
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CFS: correlation-based feature selection algorithm (a subset of 8 HRV features)Χ2-FS: chi-squared feature selection algorithm (a subset of 10 HRV features)NI: number of iterationML: minimum number of instances per leaf.CF: confidence factor for pruningLR: learning rateM: momentumNE: number of epochNT: number of treesNF: number of randomly chosen featuresG: gammaAUC: area under the curveCI: confidence intervalACC: accuracySEN: sensitivitySPE: specificityIn bold: the best performances of each classifier.Performance measurement (10-fold-crossvalidation estimation) of the proposed algorithms based on HRV features.
创建时间：
2015-12-03
