Prediction of Student Decisions in Choosing the Type of Bank Using Support Vector Machine (SVM)

A bank is an intermediate financial institution authorized to take deposits, lend money, and issue promissory notes or banknotes. In the present day, every adult must have at least one account. Additionally, services range from regular hajj savings large-scale loans. Students, of bank’s customers, usually utilize confined preserve pocket money received their parents ordinary transactions like transfers payments. Several factors, including atmosphere, administrative fees, accessibility ATMs branch offices, impact students’ decisions about where save money. It prevents predicting which be enhanced encourage particularly students, select bank. Therefore, prediction required ascertain choice This study employed data mining Support Vector Machine (LibSVM) algorithm. The quantity impacted outcomes SVM classification. addition, kernel types, k-fold values, sampling techniques also influenced classification accuracy. LibSVM with a type RBF, 8, shuffled classified 200 accuracy 68.40%.