|
|
chrom,n,Model,AUROC |
|
|
1,210,Caduceus.LogisticRegression.chrom,0.4920634920634921 |
|
|
2,230,Caduceus.LogisticRegression.chrom,0.4209199747952111 |
|
|
3,310,Caduceus.LogisticRegression.chrom,0.9236906000693722 |
|
|
5,20,Caduceus.LogisticRegression.chrom,0.3611111111111111 |
|
|
6,30,Caduceus.LogisticRegression.chrom,0.5925925925925926 |
|
|
7,210,Caduceus.LogisticRegression.chrom,0.9259259259259259 |
|
|
8,70,Caduceus.LogisticRegression.chrom,0.8276643990929704 |
|
|
9,240,Caduceus.LogisticRegression.chrom,0.47530864197530864 |
|
|
10,190,Caduceus.LogisticRegression.chrom,0.8193290243151738 |
|
|
11,480,Caduceus.LogisticRegression.chrom,0.33043981481481477 |
|
|
12,30,Caduceus.LogisticRegression.chrom,0.6049382716049383 |
|
|
13,210,Caduceus.LogisticRegression.chrom,0.5512723607961703 |
|
|
14,40,Caduceus.LogisticRegression.chrom,0.6597222222222222 |
|
|
16,80,Caduceus.LogisticRegression.chrom,0.7430555555555556 |
|
|
17,60,Caduceus.LogisticRegression.chrom,0.7067901234567902 |
|
|
19,400,Caduceus.LogisticRegression.chrom,0.6759027777777777 |
|
|
20,50,Caduceus.LogisticRegression.chrom,0.8355555555555556 |
|
|
22,20,Caduceus.LogisticRegression.chrom,0.25 |
|
|
X,500,Caduceus.LogisticRegression.chrom,0.5013333333333333 |
|
|
|
