The datasets are trained and tested with the splitting (hold out) and k-fold Cross-Validation (CV) using three popular supervised machine learning classifiers named Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest (RF) in the Weka 3.8.1.
The authors considered the state in the first dataset and country in the second dataset as the response variable and the rest of all are assumed as predictors after self-reduction few features. The first dataset consisted of 560 instances and 59 features and the second dataset was comprised of 331 instances and 46 features. Abstract: An experimental study was conducted to predict the residence state and country of students based on their response provided in the two different ICT survey held during the academic year 2014- 2015 and the academic year 2017-2018.
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