|
|
chrom,n,Model,AUROC |
|
|
1,1000,GPN-MSA.LogisticRegression.chrom,0.6341777777777777 |
|
|
2,900,GPN-MSA.LogisticRegression.chrom,0.6991220850480109 |
|
|
3,650,GPN-MSA.LogisticRegression.chrom,0.6885733070348455 |
|
|
4,400,GPN-MSA.LogisticRegression.chrom,0.5595833333333333 |
|
|
5,510,GPN-MSA.LogisticRegression.chrom,0.6627365543167159 |
|
|
6,780,GPN-MSA.LogisticRegression.chrom,0.6387610490174593 |
|
|
7,540,GPN-MSA.LogisticRegression.chrom,0.7151348879743941 |
|
|
8,460,GPN-MSA.LogisticRegression.chrom,0.7122453266120562 |
|
|
9,440,GPN-MSA.LogisticRegression.chrom,0.7066115702479339 |
|
|
10,510,GPN-MSA.LogisticRegression.chrom,0.6526549617668418 |
|
|
11,680,GPN-MSA.LogisticRegression.chrom,0.6058487120338331 |
|
|
12,590,GPN-MSA.LogisticRegression.chrom,0.7149605796546331 |
|
|
13,200,GPN-MSA.LogisticRegression.chrom,0.5955555555555555 |
|
|
14,380,GPN-MSA.LogisticRegression.chrom,0.685672514619883 |
|
|
15,390,GPN-MSA.LogisticRegression.chrom,0.6898969975893053 |
|
|
16,590,GPN-MSA.LogisticRegression.chrom,0.6673688914424335 |
|
|
17,560,GPN-MSA.LogisticRegression.chrom,0.6280824829931972 |
|
|
18,290,GPN-MSA.LogisticRegression.chrom,0.7216276919011758 |
|
|
19,580,GPN-MSA.LogisticRegression.chrom,0.6691108468754129 |
|
|
20,530,GPN-MSA.LogisticRegression.chrom,0.6877892488430045 |
|
|
21,140,GPN-MSA.LogisticRegression.chrom,0.6207482993197279 |
|
|
22,280,GPN-MSA.LogisticRegression.chrom,0.5279195011337868 |
|
|
|
