• Shipping, store display and consumer are critical steps, impacting quality waste. Boosted regression tree model predicted weight loss at the end of storage. Vapour Pressure Deficit, time, point in supply chain influence loss. Blueberries have increased popularity recent years due to their nutritional benefits sensory characteristics. However, preserve extend shelf-life, they need be maintaine...

Technology and collaboration enable dramatic increases in the size of psychological and psychiatric data collections, but finding structure in these large data sets with many collected variables is challenging. Decision tree ensembles such as random forests (Strobl, Malley, & Tutz, 2009) are a useful tool for finding structure, but are difficult to interpret with multiple outcome variables whic...

The Majorana Demonstrator is a leading experiment searching for neutrinoless double-beta decay with high purity germanium (HPGe) detectors. Machine learning provides new way to maximize the amount of information provided by these detectors, but data-driven nature makes it less interpretable compared traditional analysis. An interpretability study reveals machine's decision-making logic, allowin...

Classification problems have dominated research on boosting to date. The application of boosting to regression problems, on the other hand, has received little investigation. In this paper we develop a new boosting method for regression problems. We cast the regression problem as a classification problem and apply an interpretable form of the boosted naïve Bayes classifier. This induces a regre...

This research uses four classification algorithms in standard and boosted forms to predict members of a class for an online community. We compare two performance measures, area under the ROC (Receiver Operating Characteristic) curve (AUC) and accuracy in the standard and boosted forms. The research compares four popular algorithms Bayes, logistic regression, J48 and Nearest Neighbor (NN). The a...