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Table 2 10 independent runs of the scoring card method on Sd957.

From: Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition

Exp.

Fitness

Training (%)

Test (%)

Sensitivity

Specificity

AUC

R

Threshold

1

0.905

83.159

81.675

0.640

0.879

0.893

0.954

463.746

2

0.903

83.420

83.246

0.740

0.865

0.894

0.940

473.867

3

0.906

83.681

85.864

0.760

0.894

0.897

0.943

461.951

4

0.906

84.465

84.293

0.740

0.879

0.894

0.953

463.787

5

0.900

82.507

83.246

0.780

0.851

0.883

0.968

455.756

6

0.900

83.943

86.911

0.820

0.887

0.884

0.962

457.543

7

0.902

83.943

84.293

0.720

0.887

0.888

0.959

464.317

8

0.899

83.159

83.770

0.680

0.894

0.885

0.957

464.933

9

0.901

82.507

83.246

0.760

0.858

0.885

0.966

460.600

10

0.902

82.898

83.246

0.720

0.872

0.885

0.970

457.866

Mean

0.902

83.368

83.979

0.736

0.877

0.889

0.957

462.437

Std. Dev.

0.003

0.646

1.485

0.051

0.015

0.005

0.010

5.132

  1. The experiment 4 having the best training accuracy is used for future analysis.