… It is a popular performance appraisal technique that includes evaluation inputs from a number
… Hence performance analysis can be decomposed into multiple processes such as ‘Quality …

… The statistical metrics used for machine learning evaluation … and applicable threshold
metrics to evaluate the BN, NB, DT, … Using these performance metrics, we investigated how well …

… ’ places considerable emphasis on performance review and evaluation as a driver of … the
capacity for evaluation in local government is uneven and many obstacles to evaluation exist in …

… performance analysis of the recently developed minimal resource allocation network (M-RAN)
learning … In this section, we are comparing the performance of MRAN with DI for the …

… learning. Even so, both student satisfaction and student learning can be relevant performance
… We argue that student learning can be measured and used to provide formative feedback …

… LOCO-Analyst is a learning analytics tool we developed to provide educators with feedback
on students learning activities and performance. Evaluation of the first version of the tool led …

… collects each performance evaluation indices and weight analysis of … analysis of
comprehensive performance evaluation is conducted and finally the result of performance evaluation …

… 4.1 Affine Transformations In this section, we evaluate the performance for … evaluate the
performance for different descriptor dimensions. Fourth, we compare the descriptor performance …

The research presented in this paper proposes a new machine learning-based evaluation
method for assessing the usability of eLearning systems. Three machine learning methods (…

… and so on—requires a combination of high performance experimental and analytical methods
for … In this article we propose a formal way to use the MC of multiple methods for evaluating …