independent variables are perfectly linearly related, making it impossible to estimate their individual effects accurately. 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)...
In section 2 we review the recent NLP and sentiment analysis literature. Then, the impact of heuristic information cues, sentiment polarity and the objectivity/subjectivity of UGC on the helpfulness of online reviews is addressed. Section 3 explains the methodology and section 4 sets out the ...
PEP 8 in Python | what is the purpose of PEP 8 in Python with python, tutorial, tkinter, button, overview, entry, checkbutton, canvas, frame, environment set-up, first python program, operators, etc.
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...
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,...
Subsequently, each stop is labeled using typical machine learning algorithms. Considering the uncertainty in the positioning of cellular base stations, we assign labels to the types of activities, including home, work, social visit, leisure, and others. 4.1.1. Construction of Stop Chains and ...
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...
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-...
This machine-learning approach avoids problems such as overfitting as the model is built in a sequential manner (Mayr et al., 2017). Gradient boosting is therefore especially suitable for data sets with large numbers of collinearity (Hothorn et al., 2011). Unlike in stepwise variable selection...
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 ...