… factors which may potentially influence the flight delay, and compares several machine
learning-based … In summary, the random forest-based architecture presented better adaptation at …

… -based features and individual-based features. The study also used hybrid analyses such as
Machine Learning (… Thus, it was necessary to use students to assess factors that influence …

… This analysis will focus on the most significant variables that … to new experiences, have greater
computer self-efficacy, and … use technology to increase learning outcomes” (Mikusa, 2015)…

… Such predictions were made after analysis trends in Education … VR learning success stories
tend to have the following … computer and other gadgets games, surfing etc. The detailed …

… how machine learning models predict outcomes when the 6 … For this analysis, the machine
learning models were trained … However, many factors influence stroke outcomes, and these …

… influential factors. For the validation and the comparison of these models, for the ability to
predict … For flood susceptibility modeling, we used multiple data forms in the current analysis. …

… factors were used for the measurements, in which computer/… learning have moderate
predictive power, while the factors … in academic achievement is higher for PG students. They …

… For the purpose of our analysis of artificial intelligence in … provide insight into the learning
progress of students so that the … Machine learning methods and ANN are also used to predict …

… The results revealed that LR model had the highest success rate (81.60%) and prediction …
, different influencing factors contribute differently to flood hazard. Moreover, not all factors …

… -aware machine learning research aims to build predictive … for computer literacy in our data
is 4.94 and the median is 5. In our analysis, we grouped the numeric computer literacy factor …