Research Article
Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
Table 5
Features occurrences for classification score higher than 85%.
| Features | Occurrences, % | Features | Occurrences, % |
| VLFn(Fr) | 50.89 | Nd | 4.73 | VLF(Fr) | 50.89 | M0 | 4.73 | VLFn(wt) | 47.93 | WLF | 4.73 | W1/2VLF | 34.91 | IARP | 3.55 | LF/HF(Fr) | 34.32 | IC | 2.96 | HR | 33.73 | HF(Fr) | 2.96 | SDVLF | 30.18 | α2 LF | 2.96 | (LF/HF)max | 24.26 | LFn(wt) | 2.37 | LF/HF(wt) | 18.34 | SI | 2.37 | (LF/HF)int | 18.34 | LFn(Fr) | 1.78 | W1/2LF | 17.75 | αmin LF | 1.78 | H | 13.61 | ARI | 1.78 | WVLF | 13.02 | HFn(Fr) | 1.78 | IAS | 10.65 | SDHF | 1.18 | VLF(wt) | 7.69 | IAB | 0.59 | RF | 6.51 | NN50 | 0.59 | αmax LF | 5.92 | α0 LF | 0.59 | M | 5.33 | αmax VLF | 0.59 |
|
|