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