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Table 3 Model performance measurements estimated on the test set (Folder 2) on 5 min excerpts

From: Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life

Method

Parameters

AUC

SEN

SPE

ACC

MLP

LR = 0.3; ML = 0.2; NE = 500

98%

100%

88%

94%

SVM

PolyKernel, E = 1.0

88%

88%

88%

88%

C4.5

CF = 0.25; ML = 2

94%

88%

100%

94%

IBK

K = 3

99%

88%

100%

94%

LDA

–

98%

88%

100%

94%

  1. MLP Multilayer Perceptron, SVM Support Vector Machine, C4.5 decision trees, IBK Neighbor Search, LDA Linear Discriminate Analysis, AUC area under the curve, SEN sensitivity, SPE specificity, ACC accuracy
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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