Table 3. Classification accuracy of SRM samples using sample replicates.
Prediction class type | Number of sample replicates used | Classification accuracy | Classification accuracy (permuted) | p-value |
---|---|---|---|---|
3-class | 3 | 100% | 44.8±7.0% | 0.000 |
1 | 65% | 48.0±9.2% | 0.023 | |
9-class | 3 | 100% | 10.9±5.1% | 0.000 |
1 | 35% | 6.6±6.9% | 0.000 | |
16-class | 3 | 100% | 6.5±4.1% | 0.000 |
1 | 15% | 4.2±5.1% | 0.019 |