Groundwater level prediction using machine learning algorithms in a drought-prone area
Crops; Cultivation; Decision trees; Errors; Forecasting; Groundwater resources; Learning algorithms; Mean square error; Statistical tests; Support vector machines; Absolute error; Bangladesh; Correlation coefficient; Ground water level; Groundwater prediction; Locally weighted linear regression; Mea...
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Main Authors: | , , , , , , , , , |
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Springer Science and Business Media Deutschland GmbH
2023
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Summary: | Crops; Cultivation; Decision trees; Errors; Forecasting; Groundwater resources; Learning algorithms; Mean square error; Statistical tests; Support vector machines; Absolute error; Bangladesh; Correlation coefficient; Ground water level; Groundwater prediction; Locally weighted linear regression; Mean absolute error; Random tree; Root mean square errors; Squared errors; Groundwater |
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