The purpose of this project is to benchmark models to predict the energy consumption and CO2 emissions of Seattle Buildings, to avoid manual collect and measures. We managed to get up to 0,92 R2 score with tree models.
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ML model benchmark, case of building's CO2 emission, from inputs to predictions
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