Evaluating various machine learning techniques in credit risk area

HIGHLIGHTS

  • who: Hasee from the Robert BWillumstad School of, Adelphi University, Garden City, NY, United States have published the article: Evaluating Various Machine Learning Techniques in Credit Risk Area, in the Journal: (JOURNAL) of November/17,/1994
  • what: The final result of this research shows the comparison of 12 scenarios among different combinations of balancing methods feature selection methods and predictive algorithms which finally presents that the collection of Adaptive Synthetic Boruta and kNearest Neighbor receives the highest accuracy score. In this experiment, one-hot encoding was implemented to the rest categorical 2840 EMFRM 2022 variables . . .

     

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