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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome

Fig. 3

Feature Selection Results (Boruta). This image shows the attributes and their importance measure, by which they were selected (green) or rejected (red). This decision was made by comparing their importance measure to randomly permuted copies of themselves, the so called shadow attributes [54]. Features which could neither be selected nor rejected were marked tentative (yellow)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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