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Table 3 Performances of ensemble methods and best individual feature-based models

From: Predicting human splicing branchpoints by combining sequence-derived features and multi-label learning methods

Feature

Recall

Precision

ACC

F

AUC

AUPR

Markov

0.502

0.501

0.963

0.482

0.882

0.486

PWM

0.516

0.471

0.960

0.472

0.871

0.467

DN

0.546

0.442

0.957

0.469

0.883

0.453

SP

0.513

0.513

0.963

0.494

0.882

0.487

LREM

0.529

0.537

0.965

0.515

0.904

0.532

GAEM

0.482

0.541

0.965

0.493

0.891

0.512

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BMC Bioinformatics

ISSN: 1471-2105

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