Table 1 Classification accuracy of several shallow machine learning models.
From: An ensemble learning approach to digital corona virus preliminary screening from cough sounds
Feature/classifier | NB | KNN | LogitReg | RF | SGD | XGB | SVM |
|---|---|---|---|---|---|---|---|
Chroma | 0.51 ± 0.01 | 0.54 ± 0.03 | 0.55 ± 0.03 | 0.55 ± 0.03 | 0.52 ± 0.03 | 0.53 ± 0.03 | 0.54 ± 0.03 |
MelSpectrum | 0.54 ± 0.03 | 0.65 ± 0.03 | 0.63 ± 0.03 | 0.63 ± 0.03 | 0.56 ± 0.03 | 0.63 ± 0.03 | 0.63 ± 0.04 |
MFCC | 0.55 ± 0.04 | 0.65 ± 0.04 | 0.62 ± 0.04 | 0.64 ± 0.02 | 0.57 ± 0.04 | 0.63 ± 0.03 | 0.62 ± 0.03 |
PowerSpec | 0.54 ± 0.03 | 0.64 ± 0.04 | 0.62 ± 0.03 | 0.63 ± 0.02 | 0.57 ± 0.04 | 0.62 ± 0.03 | 0.64 ± 0.02 |
RAW | 0.53 ± 0.02 | 0.59 ± 0.03 | 0.59 ± 0.03 | 0.58 ± 0.03 | 0.54 ± 0.03 | 0.58 ± 0.03 | 0.59 ± 0.04 |
Spec | 0.57 ± 0.05 | 0.65 ± 0.03 | 0.66 ± 0.03 | 0.67 ± 0.04 | 0.58 ± 0.04 | 0.66 ± 0.02 | 0.65 ± 0.02 |
Tonal | 0.52 ± 0.02 | 0.54 ± 0.02 | 0.55 ± 0.04 | 0.54 ± 0.03 | 0.52 ± 0.03 | 0.53 ± 0.03 | 0.54 ± 0.02 |
