Table 5 Average, standard deviation, maximum and minimum accuracy achieved over all the tools, all the strategies and globally on both.

From: A machine learning-based classification model to support university students with dyslexia with personalized tools and strategies

Tools

 Average prediction accuracy

0.887

 Accuracy standard deviation

0.079

 Maximum accuracy

0.978

 Minimum accuracy

0.725

 Average F1-score

0.927

Strategies

 Average prediction accuracy

0.916

 Accuracy standard deviation

0.088

 Maximum accuracy

0.994

 Minimum accuracy

0.705

 Average F1-score

0.945

Global

 Average prediction accuracy

0.904

 Accuracy standard deviation

0.084

 Maximum accuracy

0.994

 Minimum accuracy

0.705

 Average F1-score

0.938