Description Usage Arguments Value See Also Examples
Returns the optimal set of predictive variables selected by the AUC-RF method.
1 | OptimalSet(object)
|
object |
an object of class |
A data.frame with the selected variables ordered by the initial ranking, their importance
values (initial ranking) and, if available, the probability of selection value measured by
AUCRFcv
function.
1 2 |
Loading required package: randomForest
randomForest 4.6-12
Type rfNews() to see new features/changes/bug fixes.
AUCRF 1.1
Name Importance Prob.Selection
1 SNP9 15.047305 1.00
2 SNP4 12.912120 1.00
3 SNP3 10.486599 1.00
4 SNP7 9.767075 1.00
5 SNP8 9.283819 1.00
6 SNP2 9.043039 1.00
7 SNP6 8.743129 1.00
8 SNP10 8.465736 1.00
9 SNP5 7.844703 1.00
10 SNP1 7.533021 1.00
11 SNP369 2.677609 0.35
12 SNP584 2.565316 0.19
13 SNP747 2.504847 0.09
14 SNP47 2.469360 0.26
15 SNP55 2.469196 0.14
16 SNP674 2.445041 0.24
17 SNP354 2.441501 0.04
18 SNP993 2.424503 0.16
19 SNP661 2.423057 0.51
20 SNP73 2.399690 0.03
21 SNP690 2.398267 0.56
22 SNP14 2.390978 0.05
23 SNP878 2.387848 0.50
24 SNP651 2.353301 0.00
25 SNP191 2.349521 0.36
26 SNP684 2.346010 0.16
27 SNP278 2.341461 0.06
28 SNP771 2.336632 0.04
29 SNP575 2.318485 0.71
30 SNP544 2.307716 0.61
31 SNP726 2.299561 0.13
32 SNP336 2.279044 0.07
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