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. Author manuscript; available in PMC: 2020 Jan 25.
Published in final edited form as: Biomarkers. 2018 Jun 19;23(7):689–703. doi: 10.1080/1354750X.2018.1479771

Table 3: Confusion Matrices using RDF and SVM algorithms for calculating misclassification rates.

Random Decision Forest and Support Vector Machine algorithms were used to compute misclassification rates using the predicted 23-miRNA signature.

Random Decision Forest Support Vector Machine
True Radiation Dose True Radiation Dose
0 Gy 2 Gy 4 Gy 8 Gy 12 Gy 15 Gy 0 Gy 2 Gy 4 Gy 8 Gy 12 Gy 15 Gy
Predicted Radiation Dose 0 Gy 95% 13% 9% 21% 8% 5% 86 % 17 % 2 % 14 % 3 % 0 %
2 Gy 0% 38% 19% 9% 7% 1% 4 % 55 % 31 % 13 % 2 % 0 %
4 Gy 4% 38% 49% 18% 13% 6% 3 % 21 % 41 % 22 % 3 % 2 %
8 Gy 0% 10% 15% 17% 14% 10% 6 % 6 % 16 % 30 % 24 % 12 %
12 Gy 0% 2% 3% 32% 35% 44% 1 % 1 % 1 % 21 % 37 % 29 %
15 Gy 0% 0% 5% 4% 22% 35% 0 % 0 % 8 % 1 % 30 % 57 %