Table 4 Evaluation of accuracy and Matthews Correlation Coefficient (MCC) using MOFGalaxyNet and compared to other ML algorithms
Model | Accuracy (%) of methods | Matthews correlation coefficient (MCC) |
|---|---|---|
Naive bayes | 59.60 | 0.334 |
Gradient boosted trees | 63.59 | 0.407 |
Logistic regression | 64.59 | 0.429 |
Decision tree | 63.84 | 0.420 |
Support vector machine | 65.09 | 0.437 |
Random forest | 65.59 | 0.449 |
Deep learning | 66.83 | 0.456 |
MOFGalaxyNet(φ = 0.2) | 67.51 | 0.277 |
MOFGalaxyNet(φ = 0.7) | 89.55 | 0.806 |
MOFGalaxyNet(φ = 0.9) | 89.62 | 0.813 |