… Machine Learning is one such approach and it incorporates several techniques. We conduct
the performance analysis of some of the most typical machine learning methods used in …

… -based evaluation of student performance is required to evaluate student mastery of course
objectives, validate efficacy of this simulation learning … To this end an evaluation matrix was …

… This study attempted to propose an e-learning evaluation model comprising a collective
set of measures associated with an e-learning system. The research in this paper sought to …

… The analysis focuses on the characterization and evaluation of decision tree accuracy,
complexity, and composition. The decision trees correctly identified 79.3% of the software …

… evaluate the performance. Experimental results show that a permissionbased detector can
… We then feed the datasets to machine learning algorithms and evaluate the performance of …

… In this article, I present the results of an analysis of the relationship between teacher evaluation
scores and student achievement on district and state tests in reading, mathematics, and …

… learning evaluations, we use internal validity to refer to validity properties within a learning
… This goes beyond test set performance on an individual learning problem and is anchored …

… teachers’ evaluation were only about college teachers. This paper suggests that teacher
performance evaluation should find its theoretical foundation in teacher performance constructs. …

… a set of performance measures. In addition, we organise the first evaluation event for retrieval
… Finally, we present an analysis and the evaluation of the participating retrieval systems as …

… The data collection tools used in this study are the performance task evaluation form (for the
sample petitions that students were asked to provide at the end of the activities) and the self-…