How To Predict Water Pumps Failure in Tanzania using CatBoost Libraryby@sagol
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How To Predict Water Pumps Failure in Tanzania using CatBoost Library

by Taras Baranyuk8mMarch 1st, 2021
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The goal of the competition is to build a model that predicts the functionality of water supply points. The data has 59400 rows and 40 columns without the label that comes in a separate file. The metric used for this competition is the classification rate, which calculates the. percentage of rows where the predicted class in the. submission matches the actual class. in the model. The older the waterpoint, the higher the probability that it is not functioning, mostly before the 80s. The number of broken water points there is the majority of the broken water. We can assume that some of the payments can positively affect keeping the. state in a working state.

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Taras Baranyuk

Taras Baranyuk

@sagol

22+ years of experience in creating software products in various positions.

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Taras Baranyuk@sagol
22+ years of experience in creating software products in various positions.

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