From: An evaluation of time series summary statistics as features for clinical prediction tasks
Combination | AUROC | AUPRC | AUROC | AUPRC |
---|---|---|---|---|
 | Logistic regression | Random forest | ||
mean | 0.7257 ±0.0024 | 0.5118 ±0.0005 | 0.7716 ±0.0033 | 0.5314 ±0.0049 |
first | 0.7321 ±0.0029 | 0.5139 ±0.0027 | 0.7597 ±0.0036 | 0.5281 ±0.0069 |
min, max | 0.7376 ±0.0022 | 0.5140 ±0.0018 | 0.7760 ±0.0021 | 0.5351 ±0.0031 |
min, max, mean | 0.7380 ±0.0035 | 0.5148 ±0.0038 | 0.7734 ±0.0017 | 0.5353 ±0.0041 |
min, max, mean, std | 0.7404 ±0.0017 | 0.5184 ±0.0034 | 0.7770 ±0.0016 | 0.5430 ±0.0058 |
min, max, mean, CV, skew, first | 0.7403 ±0.0041 | 0.5178 ±0.0045 | 0.7780 ±0.0028 | 0.5351 ±0.0061 |
 | SVM | Decision tree | ||
mean | 0.7322 ±0.0015 | 0.5162 ±0.0013 | 0.5778 ±0.0029 | 0.3550 ±0.0010 |
first | 0.7164 ±0.0012 | 0.5055 ±0.0046 | 0.5102 ±0.0035 | 0.3069 ±0.0018 |
min, max | 0.7282 ±0.0011 | 0.5034 ±0.0041 | 0.5566 ±0.0010 | 0.3444 ±0.0048 |
min, max, mean | 0.7395 ±0.0033 | 0.5121 ±0.0046 | 0.5756 ±0.0034 | 0.3536 ±0.0012 |
min, max, mean, std | 0.7218 ±0.0024 | 0.5039 ±0.0013 | 0.5867 ±0.0003 | 0.3619 ±0.0005 |
min, max, mean, CV, skew, first | 0.7454 ±0.0015 | 0.5271 ±0.0035 | 0.5831 ±0.0026 | 0.3592 ±0.0024 |