Table 6 The performance of five LPI prediction methods on CV2

Precision

Dataset 1

0.5370 ± 0.0347

0.3405 ± 0.1562

0.3541 ± 0.1209

0.7009 ± 0.1208

0.6836 ± 0.1148

0.4413 ± 0.1452

Dataset 2

0.5769 ± 0.0287

0.3468 ± 0.1536

0.3879 ± 0.1793

0.6138 ± 0.1316

0.6227 ± 0.1840

0.6190 ± 0.0982

Dataset 3

0.4479 ± 0.0234

0.5419 ± 0.0476

0.3772 ± 0.1050

0.6639 ± 0.1119

0.6842 ± 0.0844

0.5312 ± 0.0742

Dataset 4

0.5319 ± 0.0042

0.6023 ± 0.0286

0.7413 ± 0.0151

0.7261 ± 0.0412

0.6635 ± 0.0230

0.7421 ± 0.0133

Dataset 5

0.4164 ± 0.0122

0.7868 ± 0.0085

0.7459 ± 0.0037

0.7264 ± 0.1465

0.7700 ± 0.0505

0.7658 ± 0.0349

Ave.

0.5020

0.5237

0.5213

0.6862

0.6848

0.6199

Recall

Dataset 1

0.5264 ± 0.0130

0.2567 ± 0.1423

0.2165 ± 0.0725

0.5415 ± 0.0702

0.7060 ± 0.0876

0.2298 ± 0.1220

Dataset 2

0.5486 ± 0.0204

0.2325 ± 0.1309

0.1744 ± 0.1197

0.4114 ± 0.0551

0.6568 ± 0.1041

0.2067 ± 0.0915

Dataset 3

0.4819 ± 0.0104

0.3637 ± 0.0817

0.3023 ± 0.1209

0.4982 ± 0.0746

0.6651 ± 0.0211

0.3525 ± 0.1286

Dataset 4

0.5479 ± 0.0042

0.5278 ± 0.0600

0.6730 ± 0.0125

0.5402 ± 0.0415

0.6411 ± 0.0329

0.6978 ± 0.0273

Dataset 5

0.7993 ± 0.0470

0.8122 ± 0.0338

0.8473 ± 0.0155

0.5811 ± 0.0589

0.7394 ± 0.0156

0.8684 ± 0.0565

Ave.

0.5808

0.4386

0.4427

0.5145

0.6817

0.4710

Accuracy

Dataset 1

0.5382 ± 0.0252

0.5204 ± 0.0694

0.5173 ± 0.0424

0.5867 ± 0.0757

0.6518 ± 0.0350

0.5386 ± 0.0615

Dataset 2

0.5672 ± 0.0181

0.5092 ± 0.0641

0.5298 ± 0.0562

0.5220 ± 0.0482

0.6474 ± 0.0736

0.5609 ± 0.0430

Dataset 3

0.4708 ± 0.0139

0.5361 ± 0.0321

0.4899 ± 0.0349

0.5584 ± 0.0777

0.6347 ± 0.0312

0.5284 ± 0.0409

Dataset 4

0.5135 ± 0.0038

0.5767 ± 0.0126

0.7172 ± 0.0109

0.6202 ± 0.0332

0.6150 ± 0.0286

0.7261 ± 0.0104

Dataset 5

0.5089 ± 0.0004

0.7951 ± 0.0141

0.7785 ± 0.0051

0.6636 ± 0.0644

0.7117 ± 0.0144

0.7985 ± 0.0117

Ave.

0.5197

0.5875

0.6065

0.5902

0.6521

0.6305

F1-score

Dataset 1

0.5285 ± 0.0228

0.2567 ± 0.1423

0.2494 ± 0.0853

0.5399 ± 0.0745

0.6818 ± 0.0428

0.2697 ± 0.1242

Dataset 2

0.5617 ± 0.0246

0.2622 ± 0.1347

0.2131 ± 0.1301

0.4092 ± 0.0634

0.6295 ± 0.1274

0.2629 ± 0.1012

Dataset 3

0.4635 ± 0.0172

0.4175 ± 0.0750

0.3144 ± 0.1120

0.4929 ± 0.0804

0.6719 ± 0.0487

0.3791 ± 0.0995

Dataset 4

0.5372 ± 0.0005

0.5389 ± 0.0305

0.7030 ± 0.0103

0.5468 ± 0.0408

0.6521 ± 0.0280

0.7160 ± 0.0142

Dataset 5

0.5467 ± 0.0250

0.7970 ± 0.0184

0.7920 ± 0.0071

0.5908 ± 0.0734

0.7537 ± 0.0290

0.8115 ± 0.0084

Ave.

0.5275

0.4545

0.4544

0.5159

0.6778

0.4878

AUC

Dataset 1

0.5701 ± 0.0508

0.5659 ± 0.0734

0.5397 ± 0.0855

0.6293 ± 0.1142

0.8013 ± 0.0902

0.5419 ± 0.0863

Dataset 2

0.6227 ± 0.0328

0.5173 ± 0.0987

0.5895 ± 0.0743

0.5235 ± 0.0899

0.7578 ± 0.1278

0.6347 ± 0.0798

Dataset 3

0.4443 ± 0.0269

0.5373 ± 0.0421

0.5084 ± 0.0512

0.5848 ± 0.1577

0.7595 ± 0.0402

0.5625 ± 0.0508

Dataset 4

0.5206 ± 0.0088

0.6004 ± 0.0148

0.7791 ± 0.0124

0.7202 ± 0.0571

0.7134 ± 0.0528

0.7883 ± 0.0115

Dataset 5

0.5013 ± 0.0025

0.8717 ± 0.0133

0.8544 ± 0.0063

0.8000 ± 0.1136

0.8959 ± 0.0212

0.8802 ± 0.0172

Ave.

0.5318

0.6185

0.6542

0.6516

0.7856

0.6815

AUPR

Dataset 1

0.5429 ± 0.0415

0.5303 ± 0.0744

0.5099 ± 0.0686

0.7347 ± 0.1155

0.8520 ± 0.0714

0.5539 ± 0.0754

Dataset 2

0.5672 ± 0.0181

0.4973 ± 0.0760

0.5299 ± 0.0719

0.5965 ± 0.1215

0.7137 ± 0.2185

0.6272 ± 0.0669

Dataset 3

0.4600 ± 0.0243

0.5438 ± 0.0333

0.5197 ± 0.0420

0.6556 ± 0.1277

0.7782 ± 0.0554

0.5614 ± 0.0422

Dataset 4

0.5525 ± 0.0034

0.6161 ± 0.0211

0.7778 ± 0.0168

0.7415 ± 0.0543

0.7491 ± 0.0348

0.7788 ± 0.0151

Dataset 5

0.7308 ± 0.0046

0.8471 ± 0.0164

0.8187 ± 0.0119

0.7600 ± 0.1657

0.8836 ± 0.0563

0.8643 ± 0.0253

Ave.

0.5707

0.6069

0.6312

0.6977

0.7953

0.6771