Table 2 Prediction performances when separate training and test data were used
From: An approach to forecast human cancer by profiling microRNA expressions from NGS data
Cancer type | Number of training samples | Number of test samples | TP rate | FP rate | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|---|
Lung cancer | 32 | 9 | 0.889 | 0.089 | 0.911 | 0.889 | 0.9 |
Hepato cellular carcinoma | 33 | 13 | 0.9375 | 0.063 | 0.917 | 0.938 | 0.923 |