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Santander Customre Satisfaction Predictor
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SystemJsn
Yansen Sheng
Santander Customre Satisfaction Predictor
Introduction:
This is a gradient decision tree trained by me and two other teammates, Yizhou Feng and Shuangchen Shen, for a Kaggle competition.
The link to the competition is here:
https://www.kaggle.com/c/santander-customer-satisfaction
This gradient decision tree uses extreme gradient boosting model (
http://xgboost.readthedocs.io/en/latest/model.html
).
Irrelevant features (such as zero values and uniform values) are ignored during the training phase to reduce the amount of calculation.
Features that are not quite relevant are also excluded by using an Extra Trees Classifier.
Link to this project is
here
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