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Fig. 3 | BMC Genomics

Fig. 3

From: Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks

Fig. 3

Comparison of prediction performance of different predictors in the independent datasets that each is associated with one of the eleven newly-designed datasets. X-axis shows the datasets, while the y-axis shows (a) accuracy, (b) sensitivity, and (c) F1 score, respectively. Only mirTarDANN has error bars since mirTarDANN has multiple sets of parameters optimized under multi-fold cross-validation

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