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Table 6 Predictability comparisons on USGS21

From: SIP-FS: a novel feature selection for data representation

Algorithms

mRMR

ReliefF

En-mRMR

En-ReliefF

SIP-FS

Agricultural

0.960

0.901

0.956

0.905

0.963

Airplane

0.823

0.849

0.848

0.820

0.864

Baseballdiamod

0.882

0.873

0.887

0.886

0.842

Beach

0.960

0.965

0.973

0.940

0.949

Buildings

0.778

0.793

0.766

0.813

0.834

Chaparral

0.967

0.973

0.976

0.956

0.955

Denseresidential

0.785

0.783

0.800

0.666

0.788

Forest

0.965

0.956

0.953

0.929

0.948

Freeway

0.872

0.917

0.910

0.910

0.864

Golfcourse

0.877

0.834

0.900

0.824

0.835

Harbor

0.904

0.832

0.920

0.852

0.869

Intersection

0.794

0.815

0.811

0.785

0.807

Mediumresidenial

0.873

0.779

0.870

0.705

0.837

Mobilehomepak

0.842

0.748

0.852

0.750

0.824

Overpass

0.867

0.812

0.885

0.796

0.848

Parkinglot

0.894

0.855

0.885

0.865

0.846

River

0.795

0.793

0.791

0.795

0.844

Runway

0.896

0.880

0.891

0.875

0.893

Sparseresidentil

0.816

0.795

0.813

0.703

0.791

Storagetanks

0.724

0.697

0.711

0.700

0.724

Tenniscourt

0.772

0.667

0.763

0.642

0.755

Average

0.859

0.834

0.865

0.768

0.851

  1. The top performance in each row is highlightened in boldface