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Kaggle-Digit

Random Forests, AdaBoost , ExtraTrees Algorithms applied

Kaggle Project - Digit Recognizer

Various Ensemble algorithms applied. - Random Forests, AdaBoost and ExtraTrees Algorithms applied - several iterations of them.

Library used - Python sklearn

Present Accuracy - 0.971 achieved with AdaBoost Algorithm where the estimator used is the ExtraTrees Algorithm. No of estimators used = 1000. Sparse csc matrix used as input.

Current Standing - 226/ 649 teams as of May 25 2015

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Random Forests, AdaBoost , ExtraTrees Algorithms applied

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