Skip to main content

Table 2 Top-k recall rates for different 3ASC models compared with baseline

From: Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders

Models

Top 1

Top 3

Top 5

Top 10

Top 20

Top 30

Top 100

3ASC (Baseline)

0.518

0.742

0.825

0.911

0.969

0.986

1.000

3ASC_LR

0.591

0.785

0.862

0.937

0.977

0.991

1.000

3ASC_RF

0.718

0.841

0.889

0.936

0.953

0.960

0.992

3ASC_LR_QC

0.718

0.847

0.915

0.966

0.989

0.995

1.000

3ASC_RF_QC

0.825

0.923

0.955

0.976

0.983

0.985

0.998

3ASC_LR_ALL

0.739

0.861

0.924

0.975

0.993

0.997

1.000

3ASC_RF_ALL

0.856

0.944

0.967

0.981

0.985

0.988

0.998

  1. The best performance is indicated in bold