Feature selection (Training dataset) | Classification performances (Training dataset) | |||||
---|---|---|---|---|---|---|
Dim | Added feature | KI | Accuracy | Specificity | Sensitivity | MCC |
\(\gamma\)-metric | ||||||
1 | \(sd_2\) | 1.000 | \(0.9993\ (0.000228)\) | \(0.9997\ (0.000172)\) | \(0.9933\ (0.000030)\) | \(0.994\ (0.0021)\) |
2 | \(sd_3\) | 1.000 | \(0.9996\ (0.000164)\) | \(0.9997\ (0.000127)\) | \(0.9963\ (0.000024)\) | \(0.997\ (0.0015)\) |
3 | \(sd_1\) | 1.000 | \(0.9996\ (0.000181)\) | \(0.9998\ (0.000134)\) | \(0.9963\ (0.000025)\) | \(0.997\ (0.0017)\) |
4 | pNN50 | 0.971 | \(0.9997\ (0.000174)\) | \(0.9999\ (0.000139)\) | \(0.9962\ (0.000019)\) | \(0.997\ (0.0016)\) |
5 | \(sd_4\) | 1.000 | \(0.9996\ (0.000197)\) | \(0.9999\ (0.000104)\) | \(0.9960\ (0.000026)\) | \(0.997\ (0.0018)\) |
6 | RMSSD | 0.926 | \(0.9998\ (0.000133)\) | \(0.9999\ (0.000080)\) | \(0.9973\ (0.000018)\) | \(0.998\ (0.0012)\) |
7 | SDSD | 0.918 | \(0.9998\ (0.000143)\) | \(0.9999\ (0.000093)\) | \(0.9972\ (0.000017)\) | \(0.998\ (0.0013)\) |
8 | \(m_2\) | 1.000 | \(0.9997\ (0.000145)\) | \(0.9999\ (0.000085)\) | \(0.9969\ (0.000023)\) | \(0.998\ (0.0013)\) |
9 | \(m_3\) | 1.000 | \(0.9997\ (0.000145)\) | \(0.9999\ (0.000086)\) | \(0.9968\ (0.000021)\) | \(0.997\ (0.0013)\) |
10 | \(m_1\) | 1.000 | \(0.9997\ (0.000151)\) | \(0.9999\ (0.000100)\) | \(0.9966\ (0.000026)\) | \(0.997\ (0.0014)\) |
11 | SDNNIDX | 0.981 | \(0.9998\ (0.000132)\) | \(1.0000\ (0.000065)\) | \(0.9971\ (0.000021)\) | \(0.998\ (0.0012)\) |
12 | \(sd_5\) | 0.995 | \(0.9998\ (0.000152)\) | \(1.0000\ (0.000065)\) | \(0.9971\ (0.000024)\) | \(0.998\ (0.0014)\) |
13 | \(m_4\) | 1.000 | \(0.9998\ (0.000154)\) | \(1.0000\ (0.000061)\) | \(0.9974\ (0.000022)\) | \(0.998\ (0.0014)\) |
14 | MADRR | 0.990 | \(0.9998\ (0.000136)\) | \(0.9999\ (0.000072)\) | \(0.9973\ (0.000021)\) | \(0.998\ (0.0012)\) |
15 | \(sd_6\) | 0.967 | \(0.9998\ (0.000132)\) | \(1.0000\ (0.000065)\) | \(0.9973\ (0.000021)\) | \(0.998\ (0.0012)\) |
16 | \(m_5\) | 1.000 | \(0.9998\ (0.000134)\) | \(0.9999\ (0.000091)\) | \(0.9973\ (0.000018)\) | \(0.998\ (0.0012)\) |
Mean decrease accuracy | ||||||
1 | \(sd_3\) | 1.000 | \(0.9995\ (0.000209)\) | \(0.9998\ (0.000151)\) | \(0.9955\ (0.002087)\) | \(0.996\ (0.0019)\) |
2 | \(sd_2\) | 0.876 | \(0.9996\ (0.000162)\) | \(0.9998\ (0.000136)\) | \(0.9962\ (0.002022)\) | \(0.996\ (0.0015)\) |
3 | \(sd_4\) | 0.902 | \(0.9996\ (0.000175)\) | \(0.9998\ (0.000127)\) | \(0.9963\ (0.002363)\) | \(0.997\ (0.0016)\) |
4 | \(m_3\) | 0.852 | \(0.9996\ (0.000220)\) | \(0.9998\ (0.000144)\) | \(0.9963\ (0.003057)\) | \(0.997\ (0.0020)\) |
5 | \(sd_5\) | 0.868 | \(0.9996\ (0.000179)\) | \(0.9999\ (0.000130)\) | \(0.9963\ (0.002221)\) | \(0.997\ (0.0016)\) |
6 | \(m_2\) | 0.886 | \(0.9996\ (0.000151)\) | \(0.9998\ (0.000114)\) | \(0.9962\ (0.002100)\) | \(0.997\ (0.0014)\) |
7 | \(sd_6\) | 0.883 | \(0.9997\ (0.000171)\) | \(0.9999\ (0.000114)\) | \(0.9963\ (0.002735)\) | \(0.997\ (0.0016)\) |
8 | \(m_4\) | 0.858 | \(0.9997\ (0.000122)\) | \(0.9999\ (0.000100)\) | \(0.9966\ (0.001843)\) | \(0.997\ (0.0011)\) |
9 | \(sd_7\) | 0.838 | \(0.9997\ (0.000161)\) | \(0.9999\ (0.000094)\) | \(0.9966\ (0.002583)\) | \(0.997\ (0.0015)\) |
10 | \(sd_1\) | 0.815 | \(0.9997\ (0.000177)\) | \(0.9999\ (0.000120)\) | \(0.9966\ (0.002512)\) | \(0.997\ (0.0016)\) |
11 | \(sd_8\) | 0.802 | \(0.9997\ (0.000171)\) | \(0.9999\ (0.000109)\) | \(0.9965\ (0.002426)\) | \(0.997\ (0.0016)\) |
12 | \(sd_9\) | 0.796 | \(0.9997\ (0.000161)\) | \(0.9999\ (0.000081)\) | \(0.9965\ (0.002487)\) | \(0.997\ (0.0015)\) |
13 | \(m_1\) | 0.801 | \(0.9997\ (0.000156)\) | \(0.9999\ (0.000119)\) | \(0.9965\ (0.002089)\) | \(0.997\ (0.0014)\) |
14 | \(sd_{10}\) | 0.824 | \(0.9997\ (0.000191)\) | \(0.9999\ (0.000102)\) | \(0.9965\ (0.002697)\) | \(0.997\ (0.0018)\) |
15 | \(m_5\) | 0.851 | \(0.9997\ (0.000144)\) | \(0.9999\ (0.000090)\) | \(0.9965\ (0.002118)\) | \(0.998\ (0.0013)\) |
16 | SDSD | 0.853 | \(0.9998\ (0.000151)\) | \(0.9999\ (0.000070)\) | \(0.9971\ (0.002154)\) | \(0.998\ (0.0014)\) |
Mean decrease gini | ||||||
1 | \(sd_3\) | 0.634 | \(0.9996\ (0.000210)\) | \(0.9998\ (0.000128)\) | \(0.9955\ (0.002808)\) | \(0.996\ (0.0019)\) |
2 | \(sd_2\) | 0.778 | \(0.9996\ (0.000176)\) | \(0.9998\ (0.000112)\) | \(0.9964\ (0.002226)\) | \(0.997\ (0.0016)\) |
3 | \(m_3\) | 0.790 | \(0.9996\ (0.000157)\) | \(0.9998\ (0.000101)\) | \(0.9964\ (0.002343)\) | \(0.997\ (0.0014)\) |
4 | \(m_4\) | 0.883 | \(0.9997\ (0.000154)\) | \(0.9998\ (0.000118)\) | \(0.9966\ (0.002061)\) | \(0.997\ (0.0014)\) |
5 | \(sd_4\) | 0.886 | \(0.9997\ (0.000164)\) | \(0.9998\ (0.000147)\) | \(0.9966\ (0.001517)\) | \(0.997\ (0.0015)\) |
6 | \(m_2\) | 0.911 | \(0.9997\ (0.000173)\) | \(0.9998\ (0.000136)\) | \(0.9966\ (0.002243)\) | \(0.997\ (0.0016)\) |
7 | \(m_5\) | 0.910 | \(0.9997\ (0.000206)\) | \(0.9999\ (0.000113)\) | \(0.9964\ (0.002639)\) | \(0.997\ (0.0019)\) |
8 | \(sd_5\) | 0.915 | \(0.9997\ (0.000135)\) | \(0.9999\ (0.000106)\) | \(0.9964\ (0.002013)\) | \(0.997\ (0.0012)\) |
9 | \(sd_1\) | 0.914 | \(0.9997\ (0.000168)\) | \(0.9999\ (0.000113)\) | \(0.9965\ (0.002046)\) | \(0.997\ (0.0015)\) |
10 | \(sd_6\) | 0.929 | \(0.9997\ (0.000162)\) | \(0.9999\ (0.000115)\) | \(0.9966\ (0.002147)\) | \(0.997\ (0.0015)\) |
11 | \(m_1\) | 0.931 | \(0.9997\ (0.000176)\) | \(0.9999\ (0.000109)\) | \(0.9962\ (0.002669)\) | \(0.997\ (0.0016)\) |
12 | \(sd_7\) | 0.912 | \(0.9997\ (0.000151)\) | \(0.9999\ (0.000108)\) | \(0.9965\ (0.002256)\) | \(0.997\ (0.0014)\) |
13 | \(m_6\) | 0.919 | \(0.9997\ (0.000128)\) | \(0.9999\ (0.000091)\) | \(0.9963\ (0.001798)\) | \(0.997\ (0.0012)\) |
14 | \(sd_8\) | 0.922 | \(0.9997\ (0.000170)\) | \(0.9999\ (0.000085)\) | \(0.9963\ (0.002337)\) | \(0.997\ (0.0016)\) |
15 | \(sd_9\) | 0.912 | \(0.9997\ (0.000156)\) | \(0.9999\ (0.000082)\) | \(0.9962\ (0.002653)\) | \(0.997\ (0.0014)\) |
16 | \(sd_{10}\) | 0.880 | \(0.9997\ (0.000143)\) | \(0.9999\ (0.000102)\) | \(0.9962\ (0.002302)\) | \(0.997\ (0.0013)\) |
AUC | ||||||
1 | \(sd_3\) | 1.000 | \(0.9995\ (0.000193)\) | \(0.9998\ (0.000149)\) | \(0.9955\ (0.002061)\) | \(0.996\ (0.0018)\) |
2 | \(sd_2\) | 0.861 | \(0.9996\ (0.000163)\) | \(0.9998\ (0.000114)\) | \(0.9964\ (0.002626)\) | \(0.997\ (0.0015)\) |
3 | \(m_3\) | 0.802 | \(0.9996\ (0.000182)\) | \(0.9998\ (0.000132)\) | \(0.9963\ (0.002337)\) | \(0.997\ (0.0017)\) |
4 | \(sd_4\) | 0.857 | \(0.9996\ (0.000184)\) | \(0.9998\ (0.000122)\) | \(0.9963\ (0.002353)\) | \(0.997\ (0.0017)\) |
5 | \(m_2\) | 0.879 | \(0.9996\ (0.000191)\) | \(0.9998\ (0.000109)\) | \(0.9962\ (0.002470)\) | \(0.997\ (0.0018)\) |
6 | \(sd_5\) | 0.897 | \(0.9996\ (0.000165)\) | \(0.9998\ (0.000110)\) | \(0.9963\ (0.002512)\) | \(0.997\ (0.0015)\) |
7 | \(m_4\) | 0.924 | \(0.9997\ (0.000150)\) | \(0.9998\ (0.000129)\) | \(0.9966\ (0.002119)\) | \(0.997\ (0.0014)\) |
8 | \(sd_1\) | 0.970 | \(0.9997\ (0.000172)\) | \(0.9998\ (0.000136)\) | \(0.9966\ (0.002388)\) | \(0.997\ (0.0016)\) |
9 | \(sd_6\) | 0.978 | \(0.9997\ (0.000115)\) | \(0.9999\ (0.000093)\) | \(0.9966\ (0.002001)\) | \(0.997\ (0.0011)\) |
10 | \(m_1\) | 0.907 | \(0.9997\ (0.000186)\) | \(0.9999\ (0.000097)\) | \(0.9965\ (0.002535)\) | \(0.997\ (0.0017)\) |
11 | \(sd_7\) | 0.924 | \(0.9997\ (0.000149)\) | \(0.9999\ (0.000087)\) | \(0.9966\ (0.001939)\) | \(0.997\ (0.0014)\) |
12 | \(m_5\) | 0.941 | \(0.9997\ (0.000154)\) | \(0.9999\ (0.000098)\) | \(0.9964\ (0.002420)\) | \(0.997\ (0.0014)\) |
13 | \(sd_8\) | 0.995 | \(0.9997\ (0.000138)\) | \(0.9999\ (0.000082)\) | \(0.9964\ (0.002398)\) | \(0.998\ (0.0013)\) |
14 | \(sd_9\) | 1.000 | \(0.9997\ (0.000135)\) | \(0.9999\ (0.000087)\) | \(0.9964\ (0.001707)\) | \(0.997\ (0.0012)\) |
15 | \(sd_{10}\) | 0.947 | \(0.9997\ (0.000159)\) | \(0.9999\ (0.000094)\) | \(0.9964\ (0.002237)\) | \(0.997\ (0.0015)\) |
16 | RMSSD | 0.951 | \(0.9998\ (0.000162)\) | \(0.9999\ (0.000094)\) | \(0.9970\ (0.002176)\) | \(0.998\ (0.0015)\) |