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Table 2 Performance comparison of imputation methods

From: Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis

Method

R2

MSE

MAE

RE

Mean

0.6326

0.0831

0.2209

0.2545

KNN

0.7395

0.0626

0.1827

0.2104

Multiple

0.8484

0.0414

0.1462

0.1685

Random Forest

0.8821

0.0341

0.1281

0.1477

Median

0.6543

0.0798

0.2150

0.2476

Decision Tree

0.8600

0.0380

0.1350

0.1556

  1. R²: Coefficient of Determination; MSE: Mean Squared Error; MAE: Mean Absolute Error; RE: Relative Error
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BMC Nephrology

ISSN: 1471-2369

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