Table 1.
Predictive model based on Machine Learning and Perturbation Theory (PTML) statistics for the evaluation of mitochondrial oxygen flow modifications due to CNTs (10 random splits for each method).
Regression Method | Statistics | Training | Test | ||
---|---|---|---|---|---|
R2tr | RMSEtr | R2ts | RMSEts | ||
Linear Multi-regression (LM) | Mean | 0.358 | 0.0959 | 0.356 | 0.0954 |
Min | 0.349 | 0.0954 | 0.340 | 0.0932 | |
Max | 0.363 | 0.0966 | 0.384 | 0.0969 | |
Neural Network (NN) | Mean | 0.645 | 0.0709 | 0.672 | 0.0681 |
Min | 0.626 | 0.0697 | 0.620 | 0.0613 | |
Max | 0.659 | 0.0727 | 0.739 | 0.0738 | |
Random Forest (RF) | Mean | 0.855 | 0.0455 | 0.856 | 0.0452 |
Min | 0.851 | 0.0451 | 0.853 | 0.0431 | |
Max | 0.858 | 0.0462 | 0.863 | 0.0461 |