Table 4 Experimental Results with Original Dataset.
From: Artificial intelligence framework for heart disease classification from audio signals
Models | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | P-value (decimals) |
|---|---|---|---|---|---|
RF | 88.58 | 89.58 | 89.58 | 89.58 | 1.0 |
MLP | 94.53 | 94.53 | 94.53 | 94.53 | 1.0 |
XGB | 94.11 | 94.11 | 94.11 | 94.11 | 1.0 |
KNN | 83.39 | 83.39 | 83.39 | 83.39 | 0.71 |
DT | 94.84 | 94.84 | 94.84 | 94.84 | 0.99 |
Deep Learning Approaches | |||||
Conv1D | 95.20 | 95.20 | 95.20 | 95.20 | - |
DNN | 84.08 | 89.10 | 84.08 | 85.10 | - |
