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Table 2 Performance of CATCH and random forest models

From: Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers

Methods

Accuracy

Sensitivity

Specificity

Precision

F1 score

Random forest

0.767

0.096

0.991

0.805

0.258

CATCH

0.824

0.656

0.880

0.654

0.647

  1. CATCH Covariate-adjusted, proposed tensor classification in high dimensions