Evaluation Metrics for Deep Learning Imputation Models

There is growing interest in imputing missing data in tabular datasets using deep learning. A commonly used metric in evaluating the performance of a deep learning-based imputation model is root mean square error (RMSE), which is a prediction evaluation metric. In this paper, we demonstrate the limitations of RMSE for evaluating deep learning-based imputation performance by conducting a comparative analysis between RMSE and alternative metrics …