Our approach to the AI contest is derived from our research in classifying simulated and observed storms using decision trees. Based on our results in that project, we transformed the data for the contest in several non-linear ways and developed a multi-algorithm approach that outperforms the baseline decision tree provided by the contest. Our approach uses a combination of decision trees, neural networks, and boosting to generate the final model.