Minimizing false negatives of measles prediction model: An experimentation of feature selection based on domain knowledge and random forest classifier
In the context of disease prediction model, false negative error occurs when the patient is wrongly predicted as free from the disease.A prediction model development involves the process of data collection and feature selection which extracts relevant features from the dataset. Two commonly employed...
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Blue Eyes Intelligence Engineering and Sciences Publication
2023
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