I am attempting to use decision trees to determine which features, within a dataset I automatically created, are actual features based on a dataset which only contains true detections. My features are described by morphometrics (e.g. length, width, height, etc.). How can I train a decision tree with only true detections (i.e. a reference dataset) or do I need to have some false detections to train the classifier?