|
chrom,n,Model,AUPRC |
|
1,1000,CADD+GPN-MSA.LogisticRegression.chrom,0.2796037419069574 |
|
2,900,CADD+GPN-MSA.LogisticRegression.chrom,0.2861467306509523 |
|
3,650,CADD+GPN-MSA.LogisticRegression.chrom,0.29514235309595205 |
|
4,400,CADD+GPN-MSA.LogisticRegression.chrom,0.20538890328444442 |
|
5,510,CADD+GPN-MSA.LogisticRegression.chrom,0.25795264783416033 |
|
6,780,CADD+GPN-MSA.LogisticRegression.chrom,0.2715271916148107 |
|
7,540,CADD+GPN-MSA.LogisticRegression.chrom,0.3762551537627683 |
|
8,460,CADD+GPN-MSA.LogisticRegression.chrom,0.3314140545881067 |
|
9,440,CADD+GPN-MSA.LogisticRegression.chrom,0.32829120102463755 |
|
10,510,CADD+GPN-MSA.LogisticRegression.chrom,0.32571016011519804 |
|
11,680,CADD+GPN-MSA.LogisticRegression.chrom,0.2737010868583961 |
|
12,590,CADD+GPN-MSA.LogisticRegression.chrom,0.3753367513872529 |
|
13,200,CADD+GPN-MSA.LogisticRegression.chrom,0.32336501593715705 |
|
14,380,CADD+GPN-MSA.LogisticRegression.chrom,0.33699310546579164 |
|
15,390,CADD+GPN-MSA.LogisticRegression.chrom,0.18854713004205195 |
|
16,590,CADD+GPN-MSA.LogisticRegression.chrom,0.39290591580578726 |
|
17,560,CADD+GPN-MSA.LogisticRegression.chrom,0.19914458917437572 |
|
18,290,CADD+GPN-MSA.LogisticRegression.chrom,0.36122122952887126 |
|
19,580,CADD+GPN-MSA.LogisticRegression.chrom,0.324134952646701 |
|
20,530,CADD+GPN-MSA.LogisticRegression.chrom,0.2830658975808351 |
|
21,140,CADD+GPN-MSA.LogisticRegression.chrom,0.2367588410490632 |
|
22,280,CADD+GPN-MSA.LogisticRegression.chrom,0.25806267038968234 |
|
|