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Table 3 Comparison of prediction accuracy on the dataset and feature selection-based dataset

From: A predictive noise correction methodology for manufacturing process datasets

Dataset

MAE

% improvement

Full dataset

0.0421

–

Top 10 ReliefF (missing and non-missing)

0.0363

13.78%

Top 10 ReliefF using non-missing set

0.0355

2.20%