Machine Learning, Crowdsourcing, Innovation, Innovation Management.
consequence of including some false positives is less than excluding some true positive. These optimized parameters are used to train and test the final models. The models are compared using several evaluation metrics. As classification models, there is not a single method like R2 to determine the