These are visualizations of decision trees trained on the probability that a cube has a “findable” sub-7 EO-to-DR solution.
The trees use the following features:
| Feature Name | Meaning |
|---|---|
| n_pairs | Number of top pairs (bad corner + bad edge) |
| n_side_pairs | Number of side pairs (white pair on F/B face) |
| n_fake_pairs | Number of top fake-pairs (mis-oriented corner+edge) |
| corner_arm | Number of out-of-AR corners |
| edge_arm | Number of out-of-AR edges |
At each level, the training algorithm chooses the feature that does the best job of separating the sub-7 solutions from the 7-plus solutions.
Trees by DRM:
4c4e corner case breakdown:
For a strategy on how to use these results in a solve, see DRM Subsets Meta