A HYBRID FILTER AND WRAPPER FEATURE SELECTION APPROACH FOR DETECTING CONTAMINATION IN DRINKING WATER MANAGEMENT SYSTEM

A HYBRID FILTER AND WRAPPER FEATURE SELECTION APPROACH FOR DETECTING CONTAMINATION IN DRINKING WATER MANAGEMENT SYSTEM

Feature selection is an important task COLLAGEN SERUM in predictive models which helps to identify the irrelevant features in the high - dimensional dataset.In this case of water contamination detection dataset, the standard wrapper algorithm alone cannot be applied because of the complexity.To overcome this computational complexity problem and mak

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