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AutoML-GWL for Groundwater Prediction by LALIT CHOUDHARY is a document available to read on EtoBox.

This document summarizes a research paper that proposes an automated machine learning (AutoML) framework called AutoML-GWL for precise groundwater level mapping. The framework seamlessly integrates the selection of the best machine learning model and optimizes its hyperparameters using Bayesian optimization. Long-term data on various factors like precipitation, temperature, and lag of groundwater level were used to train the AutoML-GWL model. The trained model performed well on unseen data with strong corre

Author

LALIT CHOUDHARY

Language

EN