A processor-implemented method includes: determining a prediction loss based on class prediction data obtained by applying a first machine learning model to a training input and a class label with which the training input is labeled; determining a confidence of the class label based on the determined prediction loss; and training a second machine learning model using the training input based on the determined confidence.