Table 1 Overall average accuracy and associated standard deviations (in parentheses) of SBGG, SBGDE, SVM and Random Forest models using 10 and 50 marker genes
From: A Bayesian approach for inducing sparsity in generalized linear models with multi-category response
Model | P-10 | P-50 |
|---|---|---|
SBGG | 82.5 (6.8) | 94.9 (3.08) |
SBGDE | 80.4 (6.2) | 82.3 (6.4) |
SVM | 53.6 (5.7) | 67 (4.9) |
Random Forest | 83 (5.2) | 84.6 (3.5) |