
Ultimate access to all questions.
You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset with missing values in many columns. Applying predictors for each column is not required. You plan to use the Clean Missing Data module.
Which data cleaning method should you select?
A
Replace using Probabilistic PCA
B
Normalization
C
Synthetic Minority Oversampling Technique (SMOTE)
D
Replace using MICE