Evaluating different families of prediction methods for estimating software project outcomes

•We compare classifiers using AUC when predicting software project outcome.•Attribute selection using Information Gain improves our classifiers performance.•Statistical and ensemble classifiers are robust for predicting project outcome.•Random Forest is the most appropriate technique for determining project outcome.•Best prediction is achieved with team dynamics, process, and estimation attributes.