Classification of the Bangla script document using SVM

Comparison of Classification Methods using Historical Loan Application Data

“…SVM minimizes structural risk, which excludes traditional empirical risk minimization, which is commonly used in conventional neural networks [5][6]. SVM is used to classify Bangla Language scripts with accuracy reaching an average of 94.78% [7]. Decision trees are algorithms that are very fast to be trained and evaluated.…”