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[Preprint]. 2024 Feb 23:rs.3.rs-3951996. [Version 1] doi: 10.21203/rs.3.rs-3951996/v1

Table 2:

Metrics of the 3 random forest classification models, each trained on the same 35 animals with the features shown in Table 1. The metrics are calculated from the test subset containing data from the remaining 35 animals.

Radiation Status EV Status Treatment
Accuracy (%) 94.29 85.71 65.71
AUC/Mean AUC 0.934 0.859 0.796
Sensitivity (%) /Mean Sensitivity 90.91 94.12 64.17
Specificity (%) /Mean Specificity 95.83 77.78 86.96
No information rate (%) (p-value) 68.57 (2.6×10−4) 51.43 (2.3×10−5) 34.29 (1.5×10−4)