Table 1 Data sets from MAQC project used in this work.
From: Embracing noise to improve cross-batch prediction accuracy
| Â | Â | Training set | Validation set | ||||
|---|---|---|---|---|---|---|---|
Data set code | Data set description | Number of samples | Positives | Negatives | Number of Samples | Positives | Negatives |
A | Lung tumorigen vs. nontumorigen (Mouse) | 70 | 26 | 44 | 88 | 28 | 60 |
D | Breast cancer pre-operative treatment response (pathologic complete response) | 130 | 33 | 97 | 100 | 15 | 85 |
F | Multiple myeloma overall survival milestone outcome | 340 | 51 | 289 | 214 | 27 | 187 |
I | Same as data set F but class labels are randomly assigned | 340 | 200 | 140 | 214 | 122 | 92 |