… one study to perform sentiment analysis on students feedback provided at the Facebook
page [25]. The aim of this study was to evaluate a teacher’s performance by identifying feedback …

… Performance evaluation In order to derive and evaluate the performance of the most appropriate
NN structure that better fulfils our objective, several scenarios and test cases comprising …

… porate them in CRs and evaluate their performance. This section provides an extended
case study of selecting, incorporating, and evaluating performance metrics and utility functions …

… Based on the analysis provided in this section, the appropriate evaluation strategy, ie
offline, online or simulated online, for a new BCI or BCI component can be determined. …

… compare method evaluation results. For systematic method performance analysis is needed
… cases with known outcome, and suitable evaluation measures. The criteria for benchmark …

… In this manuscript the authors applied various machine learning algorithms to a problem in
the … The various metrics used for performance evaluation are predictive accuracy, precision, …

… During a performance analysis, one is often confronted with the dilemma: should we use an
approximate model for which exact solutions exist, or approximate solutions for a more exact …

… 3.7 Classification performance measurement Six supervised machine learning techniques
were … Tenfold cross validation was for the evaluation of classification performance. The …

… The policy on course analysis was the result of an … evaluating the teachers’ performance
and evaluating for course development. In their report, they coined the term course analysis. …

… limited because sound, reliable, valid evaluation metrics are sparse, particularly in the K-12 …
Data collected from the new WBLT Evaluation Scale demonstrated good internal reliability, …