Table 1.
Descriptive analysis of participants completed the online survey.
Table 2.
Survey items and constructs.
Table 3.
Structure of dataset.
Table 4.
Descriptive statistics of the score on 27 question items.
Table 5.
Internal reliability of survey constructs.
Fig 1.
Graphical presentation of results of recursive feature elimination using random forest algorithm.
Table 6.
The remained features after recursive feature elimination with random forest.
Fig 2.
Bar graph of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of predictive models with and without using random forest recursive feature elimination.
Table 7.
Results of predictive models with and without recursive feature elimination.
Table 8.
Standardized coefficient beta of the multiple linear regression model after recursive feature elimination using random forest.
Fig 3.
Bar graph for feature importance of elastic net.