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Table 3 Cross-validation and independent test results for ET classifiers trained with three different features

From: StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens

Evaluation strategy

Feature

Number of feature

ACC

Sn

Sp

MCC

AUC

Cross-validation

APF

156

0.867

0.884

0.850

0.737

0.933

BPF

10

0.879

0.896

0.861

0.760

0.935

Independent test

APF

156

0.899

0.907

0.891

0.798

0.958

BPF

10

0.932

0.958

0.908

0.866

0.962