Running the OneR model

The syntax to the OneR model should be familiar. The outcome variable frisked is specified on the left side of the formula (~) and the features are specified on the right side. As you will recall, the metacharacter (.) designates that all features will be used as predictors:

model <- OneR(train_data, frisked ~ ., verbose = TRUE) 
summary(model) 

The (partial) summary output displays the accuracy based upon selecting only one variable as a predictor along with its classification rate. The significant variables are starred.

The attribute and the accuracy metrics for the first 7 variables are shown next. Notice that once accuracy reaches 67.61% it does not decrease:

The call to the function is shown in the log, and the Decision Tree rules are displayed.

Interpreting the output

The output from the summary gives a good sense of the importance of each variable as an individual predictor. All of the accuracy measures range from 67.61% to 68.56%, so there is no obvious one single...