"""Load and preprocess the data.""" """Evaluate the imputation results using MAE, MSE, MRE, and RMSE.""" indicating_mask = np.isnan(Y) ^ np.isnan(Y_ori) # Mask to ...

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imputation_subset_with_na <- dplyr::select(raw_data_with_na, code, mean_control, SD_control,sample_size_control,mean_invaded,SD_invaded,sample_size_invaded) ...

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such as Multiple Imputation by Chained Equations (MICE), with modern machine learning approaches like Generative Adversarial Networks (GANs) and k-Nearest Neighbors (KNN) . The findings reveal ...