A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique

<div>ROC curves of different machine learning classifiers. DT: Decision Table, NNA: Nearest Neighbor Analysis, LR: Logistic Regression, NB: Naïve Bayes, RF: Random Forest, and AUC: Area under the ROC curve.</div>

BioMed Research International

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Figure 1

Figure 1: A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique 