Research Article
Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
Table 1
Statistics of 51 runs of the reduced error pruning of the CART with 10-fold cross-validation with ICA, PCA, and SVD data reduction algorithms.
| Algorithm | Type of tree | Min | Mean | Median | Max | STD |
| ICA | Original tree | 0.435 | 0.435 | 0.435 | 0.435 | 0.0 | Pruned tree | 0.307 | 0.472 | 0.487 | 0.487 | 0.035 | PCA | Original tree | 0.794 | 0.794 | 0.794 | 0.794 | 0.0 | Pruned tree | 0.358 | 0.484 | 0.487 | 0.487 | 0.017 | SVD | Original tree | 0.615 | 0.615 | 0.615 | 0.615 | 0.0 | Pruned tree | 0.410 | 0.482 | 0.487 | 0.487 | 0.018 |
|
|