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Table 5 Average classification rate for subgroups of features and different fusion rules

From: Classification of voice disorder in children with cochlear implantation and hearing aid using multiple classifier fusion

subgroup Features Fusion method Level 1 accuracy Level 2 accuracy Level 3 accuracy Level 4 accuracy Average accuracy in all levels
1 f0, f1, f2, f1/f2, f3, RI, nasality, approximate entropy Stacked fusion not
classified
54.0% 75.0% 80.0% 65.7%
   MVR 93.8% 68.8% 100.0% 87.9% 87.4%
   Linear combination 93.8% 87.5% 100.0% 93.9%% 93.8%
2 f0, f1, f2, f1/f2, f3, nasality, approximate entropy, fractal dimension Stacked fusion 63.0% 65.2% 76.3% 82.0%% 71.2%
   MVR 100.0% 81.2% 100.0% 91.0% 93.1%
   Linear combination 87.5% 81.2% 100.0% 100.0% 92.2%
3 f0, f1, f2, f1/f2, f3, RI, nasality approxiamate entropy, lyapanov exponent Stacked fusion not classified not classified 71.2% 79.4% 62.5%
   MVR 100.0% 75.0% 100.0% 91.0% 91.5%
   Linear combination 87.5% 81.2% 100.0% 94.0% 90.7%
4 f0, f1, f2, f1/f2, f3, RI, nasality approxiamate entropy, fractal dimension, lyapanov exponent, wavelet coefficients in 3 scales Stacked fusion 60.0% 62.0% 80.0% 87.5% 73.8%
   MVR 100.0% 93.8% 100.0% 94.0% 96.9%
   Linear combination 100.0% 68.8% 100.0% 100.0% 92.2%