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tensor's contest at master - GitHub
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results.txt |
README
Idea === Blending. Linear blending is not enough to get a high score. I split the test data into several data set and blend each with different predictors and different weights. Language , children and grandparent predictors are not so usefull in my solution. I don't figure out why filters didn't work neither, oooops. The idea blending method should hits 2800 in my test data, while only nearly 2400 were hit actually. Apcluster produce lots of cluster and doesn't work in this solution, if I choose middle value as preference. Todo ==== Learn the weights in KNN More good clusters More smart blending method Read the codes and idea of the leading guy carefully. Credits ======= Thanks to: Daniel Haran && xlvector && jeremybarnes who contribute the ideas and basic codes.
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