Machine Learning, Crowdsourcing, Innovation, Innovation Management.
measures the relationship between sensitivity (false positive rate) and specificity (false negative rate). The area under the curve provides a metric for comparing different models. Values range between 0 and 1, with 1 being a model that perfectly classifies each instance. ROC assumes the classes