Table 4 Evaluation of performance metrics for prediction methods
From: Modeling tumor dynamics and predicting response to therapies in a murine pancreatic cancer model
Approach / Metric | T1 | T2 | T3 | T4 | T5 | Average | |
|---|---|---|---|---|---|---|---|
Mouse-Specific | Accuracy (%) | 55.56 | 90.00 | 44.44 | 100.00 | 62.50 | 70.50 |
CCC | 0.72 | 0.77 | 0.79 | 0.79 | 0.68 | 0.75 | |
PCC | 0.74 | 0.82 | 0.83 | 0.93 | 0.72 | 0.81 | |
MAPE (%) | 14.51 | 18.55 | 13.84 | 11.78 | 11.96 | 14.13 | |
Leave-One-Out | Accuracy (%) | 77.78 | 10.00 | 88.89 | 100.00 | 87.50 | 72.83 |
CCC | 0.70 | 0.54 | 0.79 | 0.92 | 0.73 | 0.74 | |
PCC | 0.73 | 0.56 | 0.87 | 0.92 | 0.73 | 0.76 | |
MAPE (%) | 27.75 | 32.72 | 19.41 | 17.24 | 14.46 | 22.32 | |
Group-Informed | Accuracy (%) | 55.56 | 90.00 | 77.78 | 100.00 | 87.50 | 82.17 |
CCC | 0.72 | 0.92 | 0.90 | 0.92 | 0.77 | 0.85 | |
PCC | 0.75 | 0.92 | 0.91 | 0.97 | 0.78 | 0.87 | |
MAPE (%) | 14.23 | 11.88 | 9.61 | 7.39 | 9.50 | 10.52 | |
