Fig. 2.

Bootstrapping results for the machine learning models. Bootstrapping was conducted using 100 replicates for each classifier. Error envelopes can also be seen for each classifier. Except for Naive Bayes, as the percentage of total training instances used during learning increases accuracy increases and the error envelope decreases