Table 2 Comparison of loss values of seven different machine learning methods in different physiological characteristics
From: Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning
Features | SBP | RR | GCS | MAP | HeartRate | DBP | MBP |
|---|---|---|---|---|---|---|---|
\(SVM(C=30.0)\) | 80.38 | 6.15 | 0.32 | 173.24 | 14.07 | 31.39 | 173.24 |
KNN | 112.48 | 11.40 | 1.29 | 187.28 | 23.61 | 40.13 | 187.28 |
DTR | 133.19 | 7.01 | 0.13 | 211.81 | 14.61 | 46.93 | 211.81 |
\(LR(C=30.0)\) | 309.59 | 34.29 | 3.01 | 334.19 | 40.31 | 102.86 | 334.19 |
GBDT | 107.67 | 7.50 | 0.16 | 187.07 | 17.40 | 38.77 | 187.07 |
ETR | 89.09 | 5.36 | 0.17 | 154.38 | 13.95 | 30.99 | 157.57 |
RFR | 92.52 | 6.57 | 0.40 | 146.31 | 14.00 | 31.39 | 139.06 |