... discriminant analysis, and extra trees machine learning models (altogether 26), and we compared the classification accuracy of each of the model-based predictors to that of the sole probe-irrelevant RT difference predictor as baseline. None of the models provided significant improvement over the baseline...

... social network analysis online social networks machine learning data science mental health Stable psychological characteristics are expressed behaviorally in many domains, including online, where they often leave more or less permanent digital records in their wake. The extent to which stable...

...Russell Richie; Wanling Zou; Sudeep Bhatia; Simine Vazire; Simine Vazire Recent advances in machine learning, combined with the increased availability of large natural language datasets, have made it possible to uncover semantic representations that characterize what people know about and associate...

... posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies ( N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature...