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Ground Water Level Prediction: Srigurulekha K. & Dhivya S by 19PCT26 YUVASHREE D is a document available to read on EtoBox.

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The document discusses using machine learning algorithms like logistic regression, decision tree, and random forest to predict groundwater levels in India based on recharge and usage data. It describes related work applying different models to this problem and evaluates the performance of these algorithms on a groundwater dataset with 30 samples and 13 attributes describing Indian states.

Author

19PCT26 YUVASHREE D

Language

EN