2 天前 - … a comparative analysis of the performance of traditional machine learning, deep
learning, and … In addition, is being used to predict student outcomes, which includes identifying …

2 天前 - … To test this hypothesis we utilize synthetic student data to establish ground-truth
learning curves. Then we fit various student performance models on the synthetic data and …

2 天前 - … are employed for comparative testing purposes. Furthermore, our experiment
incorporates a comparative analysis with CNN, specifically without employing transfer learning. In …

2 天前 - … conducted a plug load study in educational buildings using machine learning …
where they applied machine learning techniques. López-Pérez & Flores-Prieto 30 studied energy …

2 天前 - … predictions through rigorous machine learning processes and robust evaluation
metrics such as accuracy, recall, precision, F1-score, and ROC curves, ensures that the study’s …

4 天前 - … Islamic Boarding School. Data mining techniques with classification methods are
proposed to predict student performance in class. The results of student classification can be …

4 天前 - … effective performance in predicting maize … machine learning-based maize price
forecasting research. We aim to situate our work within the broader context of previous studies …

5 天前 - … compared the best-performing model with the BC. By comparing the diagnostic
performances … found that the RF model performed best in this study. Unlike the BC, the RF model …

5 天前 - … This study compared five high-performing pancreas segmentation models and
assessed their segmentation accuracies across multiple imaging factors and biomarkers. TS, …

6 天前 - … Our research uses a comparative analysis methodology, evaluating the performance
of a LLM with traditional machine learning models in diagnosing and classifying vehicle …