Table 7 Predictors, extracted from PDA data set, ordered according to their significance for each dimensionality reduction method.
From: Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis
Ord | Decision tree | Random forest | Gradient boosting | Logistic regression | LASSO | Expert selection (PDAEXP) | |||
|---|---|---|---|---|---|---|---|---|---|
Initial | Num | Avg | Final | ||||||
1 | Size_LD | Size_LD | Koos_LD | Size_LD | Koos_LD | Koos_LD | 5 | 2 | Koos_LD |
2 | Koos_LD | Koos_LD | Size_SC | PTAVSAR4_SC | PTADAR4_IC | Size_LD | 4 | 1.5 | - |
3 | Size_AC | Size_SC | Size_LD | Size_SC | SRT_IC | Size_SC | 4 | 4.5 | Size_SC |
4 | PTAVSAR4_AC | SRT_LD | PTAVSSC4 | Koos_LD | SRT_LD | Koos_TD | 3 | 6.7 | - |
5 | Koos_TD | Koos_TD | SRT_SC | PTADAR8_SC | PTAVSAR8_IC | PTADAR4_SC | 3 | 7.7 | PTADAR4_SC |
6 | PTAVSAR8_AC | PTAVSAR8_IC | PTAVSAR8_SC | PTAVSAR8_SC | PTADAR8_LD | PTAVSAR4_SC | 3 | 5.3 | PTAVSAR4_SC |
7 | PTADAR8_IC | PTADAR4_SC | PTAVSAR4_LD | PTAVSAR8_SC | PTADAR8_IC | PTADAR8_IC | 3 | 7.7 | – |
8 | PTADAR4_SC | PTADAR4_LD | PTADAR8_SC | PTADAR4_SC | PTAVSAR4_IC | Size_AC | 3 | 7.3 | – |
9 | SRT_AC | PTADAR8_AC | PTADAR8_LD | PTADAR8_IC | Size_AC | – | – | – | – |
10 | Size_SC | PTAVSAR4_SC | Size_AC | Koos_TD | PTAVSAR4_AC | – | – | – | – |