Ridge regression helps address this assumption by shrinking the coefficients, but it is still important to check for multicollinearity using methods like variance inflation factor (VIF) analysis. Normally Distributed Errors: It assumes that the errors (residuals) follow a normal distribution with a ...
In recent years, the application of digital technologies for learning purposes is increasingly discussed as smartphones have become an integral part of students’ everyday life. These technologies are particularly promising in the so-called “transition-in” phase of the student lifecycle when first-...
Variance inflation factor (VIF) is the most common method for determining the degree of multicollinearity in linear regression models. Each model predictor has a VIF value, which measures how much the variance of that predictor is inflated by the model’s other predictors. The VIF algorithm contai...
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical ...
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directl...
determine: (i) if a review is perceived as helpful or not (i.e., helpful reviews have received at least one “helpful” vote on the TripAdvisor page); (ii) the number of votes helpful reviews receive (i.e., the number of “helpful” votes for the review shown in the TripAdvisor ...
analysis of the visual content, that is, the photos, through the deep learning technique, obtaining different visual characteristics such as the number of people in each photo, their gender, and the emotion felt by each; an analysis of the textual content, that is, the texts that accompany ...
First, we proposed a classification model based on fused text feature representation and various state-of-the-art machine learning algorithms. Then, we explored the motivation for users to participate and create high-quality knowledge in online Q&A communities in the long term. This is an ...
The variance inflation factors (VIF) for all variables were less than 5.0 (Table 3), indicating no multicollinearity among factors [65]. Synthesis of the data in Table 3 and Table 5 resulted in adjusted R2 values for the OLS model and SEM on working days of 0.288 and 0.415, respectively,...
1.请简要介绍下SVM。SVM,全称是support vector machine,中文名叫支持向量机。SVM是一个面向数据的分类算法,它的目标是为确定一个分类超平面,从而将不同的数据分隔开。扩展:支持向量机学习...