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Fig. 1 | Human Genomics

Fig. 1

From: A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

Fig. 1

Metrics showing the performance of the different classifiers, namely AdaBoost, multinomial logistic regression, random forest, XGBoost. More specifically, the sensitivity, specificity, positive predictive value (pos.pred.value), precision, F1 metric (harmonic mean of precision and recall), and balanced accuracy of the classifiers are provided for each protein function effect class

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Human Genomics

ISSN: 1479-7364