Question: Experiment with this, using default options for StringToWordVector and NaiveBayesMultinomial as the classifier. Vary the number of the most informative attributes that are selected from

Experiment with this, using default options for StringToWordVector and NaiveBayesMultinomial as the classifier. Vary the number of the most informative attributes that are selected from the information gain

based ranking by changing the value of the numToSelectfield in the Ranker. Record the AUC values you obtain. How many attributes give the best AUC for the two datasets discussed before? What are the best AUC values you managed to obtain?

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