From: Comparative epigenomics by machine learning approach for neuroblastoma
 | A’ | B′ | C′ | D′ | 3 |
---|---|---|---|---|---|
n | 110 | 246 | 55 | 53 | 29 |
precision | 0.931 ± 0.036 | 0.833 ± 0.036 | 0.577 ± 0.118 | 0.414 ± 0.127 | 0.053 ± 0.209 |
recall | 0.881 ± 0.058 | 0.926 ± 0.030 | 0.730 ± 0.119 | 0.350 ± 0.111 | 0.009 ± 0.033 |
f1 | 0.904 ± 0.034 | 0.876 ± 0.024 | 0.633 ± 0.089 | 0.366 ± 0.093 | 0.015 ± 0.055 |