Judgment of Special Fraud Resistance by Fast-and-frugal Decision Tree

Abstract

So far, from the standpoint that the vulnerability of cognitive function causes the damageof special fraud in the elderly, we have derived the logic that can measure and judge the vulnerabilityof cognitive function, and formulate it as a fraud resistance judgment formula. Incontrast to the logistic regression which is used in our judgment formula, this study proposesan improvement to the judgment formula using a fast-and-frugal decision tree. By using adecision tree that applies fast-and-frugal heuristics, the accuracy of fraud resistance judgmentis improved, and the comprehension of advice based on the judgment is also improved.Furthermore, we discuss the problem of imbalanced data that occurs when analyzing specialfraud victim data mixed with general data and the problem of small samples that inevitablyaccompanies special fraud victim data.