“But winner Lee Herman took a clever alternative approach. He built four different models using four dissimilar techniques: Bayesian, RP (a multi-tree forest), mixture discriminant analysis, and SVM. For making predictions on the test set, he summed the predictions from each of the models to get a composite score.”
Ensemble Models for Better Predictions | Accelrys | Blog
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Saturday, March 26, 2011
