… evaluate the performance of deep feature learning models for … , we gave the overall
performance analysis about our results and … Moreover, this large-scale performance evaluation …

… learning rate values for the prediction of CKD by considering neural networks. This study
reveals that the performance of … It also reveals that the learning rate is a crucial parameter which …

… Learning objects that were used for reviewing subject matter … the learning performance
analysis to reduce the potential influence of previous teaching strategies. Learning performance (…

… The subject of this book is research and development (R&D) evaluation and performance
measurement. For the largest part of the twentieth century, establishing effective forms of …

… This correlation has a variety of uses in performance analysis, including hand tuning,
compiler optimization, debugging, benchmarking, monitoring, and performance modeling. In …

… performance metrics for evaluating a classifier's performance based on experiment results.
For balanced training data sets, one should select multiple metrics to evaluate … performance …

… quiz learning performance scores, we deduced that the experimental group’s average learning
performance and … The purpose of the study was to evaluate MobileEdu, a mobile learning …

… CT performance in an e-learning environment in comparison with a no intervention (ie neither
argument mapping nor e-learning… an e-learning CT course would significantly enhance CT …

… to analyze the performance and perception of learning in relation … , the groups performed an
evaluation on the studied content. The … Before being given the outcome of their evaluations, …

… In particular, we suggest evaluating the performance … evaluation measures. Our main
requirement for possible measures is to bring in new characteristics for the algorithm’s performance…