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Table 4 Enzyme data set: columns 1 denotes the target identifier

From: Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more

Target ID

\(L_{s}\) = 8,863

MCC\(_{TNB}\)

MCC\(_{LCMNB}\)

10980

0.903

0.869

15

0.424

0.375

11489

0.970

0.963

10193

0.345

0.286

12252

0.980

0.980

11140

0.980

0.990

9

0.831

0.806

10188

0.960

0.949

12952

0.539

0.429

194

0.986

0.980

93

0.749

0.746

126

0.973

0.960

12697

0.987

0.993

104

0.939

0.939

11

0.973

0.963

11225

0.985

0.968

11727

0.928

0.932

11024

0.711

0.682

10495

0.871

0.870

11534

0.833

0.819

13001

0.499

0.473

13061

0.981

0.964

12666

0.981

0.967

10532

0.724

0.714

65

0.922

0.912

188

0.701

0.693

10434

0.927

0.813

11451

0.936

0.867

13000

0.784

0.751

10197

0.919

0.887

12209

0.0267

0.271

  1. Columns 2 and 3 represent the MCC values obtained by TNB (\(\lambda =0.2\)) and LCMNB for each of the 31 targets. L\(^{s}\) is the number of features employed.
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Journal of Cheminformatics

ISSN: 1758-2946

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