# IterativeImputer Evaluation

I am having a hard time evaluating my model of imputation.

I used an iterative imputer model to fill in the missing values in all four columns.

For the model on the iterative imputer, I am using a Random forest model, here is my code for imputing:

imp_mean = IterativeImputer(estimator=RandomForestRegressor(), random_state=0)
imp_mean.fit(my_data)
my_data_filled=  pd.DataFrame(imp_mean.transform(my_data))