Table 3: The recognition of 6 algorithms on KDDCUP99 data sets (≤104 records).

Number of records KNN SVM C4.5 Naive bayes CART Our methods

1000 0.9950 0.9550 0.9800 0.9800 0.9870 0.9950
2000 0.9980 0.9700 0.9935 0.9925 0.9920 0.9935
3000 0.9977 0.9850 0.9947 0.9753 0.9950 0.9947
4000 0.9967 0.9750 0.9940 0.9483 0.9935 0.9940
5000 0.9984 0.9770 0.9956 0.9760 0.9958 0.9954
6000 0.9986 0.9791 0.9968 0.9553 0.9965 0.9975
7000 0.9980 0.9850 0.9958 0.9905 0.9951 0.9956
8000 0.9985 0.9831 0.9958 0.9555 0.9956 0.9965
9000 0.9983 0.9877 0.9970 0.9690 0.9955 0.9964
10000 0.9986 0.9880 0.9971 0.9449 0.9968 0.9971