Comparisons between our proposed and state-of-the-art active semi-supervised frameworks, considering the RF classifier for other biological datasets.

For our framework, the values represent the accuracies and the percentages of labeled samples obtained by each selection strategy (note that we consider much less than 10% of the datasets). For the state-of-the-art framework, the values represent the accuracy obtained with 10% of the datasets.