Table 5 Summary of number of erroneous values in the dataset, before and after correction
From: A predictive noise correction methodology for manufacturing process datasets
Before correction | After correction | |
|---|---|---|
Including attributes with more than 65% erroneous values | Excluding attributes with more than 65% erroneous values | |
79.456 | 52.948 | 3.929 |