|
|
chrom,n,Model,AUPRC |
|
|
1,1000,GPN-MSA.LogisticRegression.chrom,0.2375639761651711 |
|
|
2,900,GPN-MSA.LogisticRegression.chrom,0.2644487356997337 |
|
|
3,650,GPN-MSA.LogisticRegression.chrom,0.2314553521759471 |
|
|
4,400,GPN-MSA.LogisticRegression.chrom,0.1778387269968198 |
|
|
5,510,GPN-MSA.LogisticRegression.chrom,0.25878424205751593 |
|
|
6,780,GPN-MSA.LogisticRegression.chrom,0.2514683200147566 |
|
|
7,540,GPN-MSA.LogisticRegression.chrom,0.3428554709749565 |
|
|
8,460,GPN-MSA.LogisticRegression.chrom,0.3305323646835661 |
|
|
9,440,GPN-MSA.LogisticRegression.chrom,0.27006276035821897 |
|
|
10,510,GPN-MSA.LogisticRegression.chrom,0.34233300906092023 |
|
|
11,680,GPN-MSA.LogisticRegression.chrom,0.23336485756430955 |
|
|
12,590,GPN-MSA.LogisticRegression.chrom,0.32926250992962214 |
|
|
13,200,GPN-MSA.LogisticRegression.chrom,0.2935252933525652 |
|
|
14,380,GPN-MSA.LogisticRegression.chrom,0.29003756319747337 |
|
|
15,390,GPN-MSA.LogisticRegression.chrom,0.19652091579757985 |
|
|
16,590,GPN-MSA.LogisticRegression.chrom,0.36750891594147894 |
|
|
17,560,GPN-MSA.LogisticRegression.chrom,0.19456708529802372 |
|
|
18,290,GPN-MSA.LogisticRegression.chrom,0.3110116242279891 |
|
|
19,580,GPN-MSA.LogisticRegression.chrom,0.3150892738642796 |
|
|
20,530,GPN-MSA.LogisticRegression.chrom,0.24374172057126625 |
|
|
21,140,GPN-MSA.LogisticRegression.chrom,0.18212577499958077 |
|
|
22,280,GPN-MSA.LogisticRegression.chrom,0.22553969747513924 |
|
|
|
