Which method should you use?

You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data.

You need to select a data cleaning method.

Which method should you use?
A . Synthetic Minority Oversampling Technique (SMOTE)
B . Replace using MICE
C . Replace using; Probabilistic PCA
D . Normalization

View Answer

Answer: A