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. 2020 Dec 24;21(1):57. doi: 10.3390/s21010057

Table 11.

Performance results obtained with 3 classes (crackle vs. wheeze vs. other)—training: fixed duration; testing: variable duration.

Classifiers Accuracy F1Wheez MCCWheez F1Crack MCCCrack F1Other MCCOther
SUK (Baseline) 63.3 68.1 63.5 76.8 47.1 21.7 14.6
LDA_10MRMR 60.3 ± 0.1 45.0 ± 0.1 42.4 ± 0.0 75.1 ± 0.1 43.2 ± 0.2 36.3 ± 0.0 9.8 ± 0.1
LDA_100MRMR 61.1 ± 0.0 69.2 ± 0.5 65.0 ± 0.6 73.5 ± 0.0 39.7 ± 0.0 28.8 ± 0.4 9.3 ± 0.1
LDA_Full 62.9 ± 0.3 66.6 ± 0.4 61.7 ± 0.6 76.1 ± 0.4 45.4 ± 1.0 28.6 ± 1.4 13.9 ± 0.6
SVMrbf_10MRMR 61.9 ± 0.1 60.3 ± 2.5 54.9 ± 2.3 75.7 ± 0.2 44.2 ± 0.5 31.5 ± 1.2 12.0 ± 0.3
SVMrbf_100MRMR 63.7 ± 0.2 68.1 ± 0.4 63.3 ± 0.5 76.5 ± 0.1 46.4 ± 0.4 29.1 ± 0.6 15.7 ± 0.5
SVMrbf_Full 63.6 ± 0.5 66.9 ± 2.4 62.0 ± 2.8 77.0 ± 0.2 47.5 ± 0.5 28.6 ± 1.9 14.4 ± 0.8
RUSBoost_10MRMR 62.1 ± 0.5 68.6 ± 1.7 64.8 ± 2.4 75.8 ± 0.1 44.4 ± 0.4 20.5 ± 1.3 10.5 ± 1.6
RUSBoost_100MRMR 62.7 ± 0.2 69.3 ± 0.8 65.5 ± 1.3 76.2 ± 0.2 45.6 ± 0.5 20.3 ± 3.2 11.7 ± 1.0
RUSBoost_Full 62.9 ± 0.4 70.8 ± 0.7 67.2 ± 0.8 76.4 ± 0.6 46.1 ± 1.4 19.0 ± 4.6 11.4 ± 1.8
CNN_dualInput 61.5 ± 0.4 73.0 ± 0.9 69.6 ± 1.2 75.4 ± 0.4 43.6 ± 1.2 3.4 ± 0.5 3.2 ± 0.9
CNN_Spectrogram 61.7 ± 0.4 71.5 ± 0.8 68.0 ± 1.2 75.6 ± 0.4 43.9 ± 1.1 7.5 ± 1.2 7.7 ± 0.9
CNN_melSpectrogram 61.6 ± 0.3 72.0 ± 0.8 68.8 ± 1.0 75.9 ± 0.3 44.8 ± 0.9 4.3 ± 1.0 3.9 ± 1.3