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The performance of the trained classifiers was compared based on classification accuracy (the ability to make correct predictions), sensitivity (the ability to predict quit cases correctly), specificity (the ability to predict not quit cases correctly), and the area under the receiver operating characteristic curve (AUC-ROC), (the ability to make correct predictions) in the testing set [42]

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