[Retracted] Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

Table 3

Performance analysis of each algorithm.

Algorithm name	Modeling time (s)	The rate of false positives (%)	Overall classification accuracy (%)
NB	0.06	1.9	93.72
SVM	5.69	1.39	94.63
C4.5	0.26	1.2	95.76
AdaBoost + C4.5	1.39	0.86	98.60