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PumpItUp competiton. #135 of 8500 competitors. Accuracy: 0.8244

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DrivenData-PumpItUp

PumpItUp competiton. #135 of 8500 competitors. Accuracy: 0.8244

The data is provided by Taarifa and the Tanzanian Ministry of Water. The goal is to predict whether a water pump is functional, functional but needs repairs or non functional.

I used techniques like text mining, lumping or target encoding. The model: XGboost tuned in H2O with Rcloud and trained with xgboost R package.

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PumpItUp competiton. #135 of 8500 competitors. Accuracy: 0.8244

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