AUC values range from 0 to 1; a value of 0.5 indicates the model did not perform better than random; values between 0.5 and 0.7 indicate poor performance; between 0.7 and 0.9 indicate reasonable or moderate performance; while values higher than 0.9 indicate high performance [10].
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