Table 2 Under- and overtriage rates of logistic regression and XGBoost (median and 2.5 and 97.5 percentiles (calculation on 1000 runs))
Events per free parameter | Data set | Undertriage logistic regression | Overtriage logistic regression | Undertriage XGBoost | Overtriage XGBoost |
|---|---|---|---|---|---|
10 | SweTrau | 0.321 [0.259, 0.389] | 0.321 [0.299, 0.344] | 0.324 [0.258, 0.683] | 0.319 [0.057, 0.344] |
10 | NTDB | 0.429 [0.338, 0.79] | 0.453 [0.052, 0.501] | 0.701 [0.35, 0.808] | 0.08 [0.039, 0.494] |
25 | SweTrau | 0.314 [0.257, 0.379] | 0.322 [0.3, 0.346] | 0.316 [0.258, 0.61] | 0.321 [0.09, 0.345] |
25 | NTDB | 0.405 [0.332, 0.771] | 0.46 [0.06, 0.499] | 0.436 [0.345, 0.792] | 0.444 [0.045, 0.498] |
100 | SweTrau | 0.312 [0.254, 0.373] | 0.323 [0.301, 0.345] | 0.314 [0.255, 0.4] | 0.322 [0.291, 0.345] |
100 | NTDB | 0.394 [0.324, 0.735] | 0.466 [0.072, 0.503] | 0.409 [0.327, 0.79] | 0.459 [0.048, 0.497] |
1000 | NTDB | 0.395 [0.327, 0.72] | 0.468 [0.078, 0.507] | 0.406 [0.328, 0.777] | 0.463 [0.05, 0.504] |