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Table 2 Prediction results of machine learning models on PS-Benchmark_1 dataset.

From: SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles

Models

Accuracy (Ac)

Sensitivity (Sn)

Specificity (Sp)

Correlation-Coefficient (Cc)

Var.

Time

Ada-LEKM

0.823

0.801

0.845

0.646

0.022

35.745

Ada-SVM

0.791

0.776

0.806

0.583

0.031

51.593

SVM

0.798

0.787

0.809

0.596

0.030

32.886

LEKM

0.783

0.773

0.792

0.565

0.020

22.421

kNN

0.767

0.753

0.781

0.534

0.032

35.630

GRNN

0.759

0.724

0.793

0.518

0.041

85.422

MLP

0.752

0.715

0.789

0.505

0.046

180.344

RBFN

0.737

0.685

0.788

0.475

0.044

68.654

DT (J48)

0.732

0.718

0.747

0.465

0.025

8.393

KLR

0.726

0.682

0.772

0.456

0.038

156.690