… performance evaluation based on the combination of fuzzy AHP and fuzzy comprehensive
evaluation … and sub-factors, the teaching performance index system was established. In the …

… used performance measures and the evaluation … in evaluating the predictors. In the next
part of this review, we will discuss the commonly used protocols in evaluating machine learning …

… learning rate). We can then provide parameters that indicate student performance on this set
of rules and how that performance … How can we evaluate and improve a cognitive model in …

… project performance measure … evaluation of project performance can be improved, a
two-step approach is documented that was used to design a new project performance evaluation …

… for evaluating supervised … analysis of the properties (ie meta-features) of the founding PMLB
datasets, such as feature counts, class imbalance, etc. Further, we evaluate the performance …

… with conventional supervised learning methods, such as NB, LR, SVMs, and gradient boost
decision algorithm to empirically evaluate the predictive performance on evaluating teaching …

… This study has focused on the use of the BSC to establish an evaluation system for the
performance of a private technology school. Like other businesses, non‐profit organisations must …

… correlated with student learning performance. It is reasonable to conclude that the LOEM
is reliable, valid, and effective approach to evaluating the effectiveness of learning objects in …

… To some students, evaluation is puzzling and contradictory; to … of evaluation in improving
academic performance is explored. The focus is on formative rather than summative evaluation, …

… descent (SGD), but the running performance of different frameworks might be different even
… study, we evaluate the running performance of four stateof-the-art distributed deep learning …