Table 10. MCC of the best pairs of features for wheeze and normal sound classification using logistic regression on the Test-Set.
First Feature | Second Feature | MCC |
---|---|---|
Tonality index | Spectral slope | 0.7161 |
Tonality index | MFCC-1 | 0.7154 |
Tonality index | Entropy ratio | 0.7142 |
Spectral slope | f25/f90 | 0.7053 |
MFCC-1 | MFCC-2 | 0.6981 |
Entropy difference | Spectral Irregularity | 0.6933 |
Tonality index | MFCC-8 | 0.6849 |
Spectral crest factor | Spectral Irregularity | 0.6849 |
Spectral slope | MFCC-2 | 0.6823 |
Tonality index | Averaged PSD-7 | 0.6822 |
Tonality index | Renyi entropy | 0.6811 |
Tonality index | MFCC-11 | 0.6788 |
Tonality index | - | 0.5790 |
f25/f90 | - | 0.5420 |