1. One or more computer-readable media having embodied thereon computer-usable instructions that, when executed, facilitate a method of interactive feature selection for machine learning, the method comprising: providing a first set of data items, wherein one or more of the data items have been previously labeled as examples of a particular class of data item; utilizing a classifier to determine predicted labels for one or more of the data items; identifying one or more data items having a discrepancy between a previous label and a predicted label; presenting via a user interface an indication of the one or more data items having the discrepancy between the previous label and the predicted label, wherein the user interface includes a feature-selection interface configured to receive a user selection of one or more features that are usable as input features to train the classifier; receiving, via the user interface, the user selection of one or more features; and training the classifier with the one or more user-selected features as input features.