Table 3 Tabular representation of a decision tree for CBREXPFIN variables, applied on CBR data.
From: Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis
Node ID | Samples | Node rule | No | Yes |
|---|---|---|---|---|
1 | 184 | PTAVSSR8 ≥ 2,3 or N/A | 2 | 3 |
2 | 61 | SRT ≥ 27.5 or N/A | 4 | 5 |
3 | 123 | PTAHSR8 ≥ 6.7 | 6 | 7 |
4 | 9 | No | ||
5 | 52 | Yes | ||
6 | 86 | PTADAR4 ≥ 18.1 or N/A | 8 | 9 |
7 | 37 | No | ||
8 | 17 | Yes | ||
9 | 69 | PTAVSSR8 ≥ 7.1 | 10 | 11 |
10 | 39 | No | ||
11 | 30 | Koos = 2 | 12 | 13 |
12 | 18 | No | ||
13 | 12 | Yes |
