Table 2.
Implementation results for other datasets with 5-fold CV
Dataset | Sample | Feature | Method | degg | Iter | Enc | Learn | Storage | Accuracy | AUC |
---|---|---|---|---|---|---|---|---|---|---|
num | num | num | time | time | ||||||
Edinburgh | 1253 | 9 | Ours | 5 | 7 | 2s | 3.6 min | 0.02 GB | 91.04% | 0.958 |
[13] | 3 | 25 | 12s | 114 min | 0.69 GB | 86.03% | 0.956 | |||
[13] | 7 | 20 | 12s | 114 min | 0.71 GB | 86.19% | 0.954 | |||
lbw | 189 | 9 | Ours | 5 | 7 | 2s | 3.3 min | 0.02 GB | 69.19% | 0.689 |
[13] | 3 | 25 | 11s | 99 min | 0.67 GB | 69.30% | 0.665 | |||
[13] | 7 | 20 | 11s | 86 min | 0.70 GB | 69.29% | 0.678 | |||
nhanes3 | 15649 | 15 | Ours | 5 | 7 | 14s | 7.3 min | 0.16 GB | 79.22% | 0.717 |
[13] | 3 | 25 | 21s | 235 min | 1.15 GB | 79.23% | 0.732 | |||
[13] | 7 | 20 | 21s | 208 min | 1.17 GB | 79.23% | 0.737 | |||
pcs | 379 | 9 | Ours | 5 | 7 | 2s | 3.5 min | 0.02 GB | 68.27% | 0.740 |
[13] | 3 | 25 | 11s | 103 min | 0.68 GB | 68.85% | 0.742 | |||
[13] | 7 | 20 | 11s | 97 min | 0.70 GB | 69.12% | 0.750 | |||
uis | 575 | 8 | Ours | 5 | 7 | 2s | 3.5 min | 0.02 GB | 74.44% | 0.603 |
[13] | 3 | 25 | 10s | 104 min | 0.61 GB | 74.43% | 0.585 | |||
[13] | 7 | 20 | 10s | 96 min | 0.63 GB | 75.43% | 0.617 |