Another OneR example

This example uses the much larger diabetes dataset. Since most of the variables in this dataset are numeric, OneR can bin all of them:

1. First, read the Spark diabetes table using SQL, which has already been registered in a previous chapter.
2. Collect a 15% random sample of the data and assign it to an R (not Spark!) dataframe named "local".
3. Bin all of the available variables based upon their ability to predict the outcome and assign it to an R dataframe named "data":

        library(OneR) 
        df = sql("SELECT outcome, age, mass, triceps, pregnant,
        glucose, pressure, insulin, pedigree 
        FROM global_temp.df_view") 

        local = collect(sample(df, F,.15)) 

        data <- optbin(local,outcome~.) 
        summary(data) 

4. Run the OneR model using all of the variables to predict the outcome. Recall that the outcome...