Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and high AUROC (0.9). حسب Elena Albu (15181070)

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Distribution of original (non-missing) and imputed values for continuous variables. حسب Elena Albu (15181070)

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Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). حسب Elena Albu (15181070)

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Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

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Median runtime in seconds for building imputation models and imputing the training set (the Q1 - Q3 range is presented in the shiny app). حسب Elena Albu (15181070)

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Imputed variable and predictor matrix. حسب Elena Albu (15181070)

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NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). حسب Elena Albu (15181070)

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Amputation mechanisms. حسب Elena Albu (15181070)

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Median object size of the imputation object in MB (the Q1 - Q3 range is presented in the shiny app). حسب Elena Albu (15181070)

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Prediction performance for datasets with missing values and categorical outcome (BSS). حسب Elena Albu (15181070)

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NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). حسب Elena Albu (15181070)

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Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). حسب Elena Albu (15181070)

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NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75). حسب Elena Albu (15181070)

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Real datasets description. حسب Elena Albu (15181070)

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Mean number of completely missing observations over all train/test splits for datasets with simulated missingness (amputation). حسب Elena Albu (15181070)

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Details on imputation methods in R or python. حسب Elena Albu (15181070)

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Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75). حسب Elena Albu (15181070)

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Proportion of original (non-missing) and imputed values for categorical variables. حسب Elena Albu (15181070)

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Comparison procedure steps. حسب Elena Albu (15181070)

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Errors (deviations from true values); median and IQR bars. حسب Elena Albu (15181070)

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