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...
This is an important consideration, given that the benefits of a learning tool are highly dependent on users’ experience of it (Pituch & Lee, 2006). To fill a gap in research on students’ learning experience of coding tools in distance learning contexts, the present study explored how a ...
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 ...
More and more tourists are sharing their experiences on their social media through a combination of photos, texts, and hashtags. But there is a scarcity of studies in literature on analyzing tourists’ visual content in relation to tourism destinations.
Intra-domain VIF analyses revealed that the information in the internal-distance measures was not redundant with respect to general measures of size. All connectedness measures in both graph types survived in the intra-domain analysis. Dynamic organization measures of sequential graphs were not mutually...
Often times in the workplace, business stakeholders and managers associate machine learning and big data with deep learning. They will often think that the best solution to all data problems is deep…
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...