One way of modelling a given process is by fitting a machine learning model to the data it produces. Ideally, we would like the model to be flexible enough to capture all predictable patterns. At the same time, we want it to be interpretable so that we can learn about the process by ...
Digital learning games are thought to support learning by increasing enjoyment and promoting deeper engagement with the content, but few studies have empirically tested hypothesized pathways between digital learning games and learning outcomes. Decimal P
The institutional review boards of both the University of Pennsylvania and the Children’s Hospital of Philadelphia approved all study procedures. Participants included 1601 individuals from the Philadelphia Neurodevelopmental Cohort41, a large community-based study of brain development in youths aged 8–22...
Conclusions and Relevance Gunshot violence follows an epidemic-like process of social contagion that is transmitted through networks of people by social interactions. Violence prevention efforts that account for social contagion, in addition to demographics, have the potential to prevent more shootings than...
In addition, the relative weights were used to find the positive and negative probabilities of having the disease, which indicated high fidelity explanations. Hence, the primary goal of our model is to shed light and give insights into the prediction process of the models, as well as to ...
For instance, if we provide 100 predictions with a confidence level of 80%, we would anticipate that 80% of the predictions will come true. If such a case, the network is calibrated. Model calibration is the process of obtaining a trained model and applying a post-processing procedure to ...