HEAL (Heuristic Enabled Active Learning) Annotator is a web-server for predicting class labels in a binary classification when there is limited label data. HEAL provides a reliable and costless alternative to the existing Active learning model that requires an human-in-the-loop to reinforce the accuracy of base model.

Upload both labeled and unlabeled datasets to annotate the unlabeled dataset. Be patient because prediction can take a few minutes