Article

Classification Technique

Results

Accuracy

TT (sec)

prediction

TP

TN

FP

FN

Error rate

Precision

Recall

DR

FAR

8: Problems of KDD Cup 99 Dataset existed and data preprocessing

Naïve Bayes

96.31%

6.16

381.45

.

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.

.

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.

Bayes Net

99.65%

43.08

57.38

.

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.

.

.

.

.

Liblinear

99.00%

3557.76

6.1

.

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.

.

.

.

.

MLP

92.92%

22,010.2

25.4

.

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.

.

IBK

100.00%

0.39

79,304.62

.

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.

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.

Vote

56.84%

0.17

3

.

.

.

.

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.

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.

OneR

98.14%

5.99

6.38

.

.

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.

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.

J48

99.98%

99.43

5.8

.

.

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.

Random forest

100.00%

122.29

4.23

.

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Random Tree

100.00%

14.79

19.09

.

.

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.

9: Problems of KDD Cup 99 Dataset existed and data preprocessing

Naïves Bayes

90.45%

3.21

116.06

.

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.

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.

.

.

.

.

Bayes Net

99.13%

26.65

35.04

.

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.

.

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.

.

.

.

Liblinear

98.95%

708.36

4.27

.

.

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.

.

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.

MLP

99.66%

11,245.8

53.31

.

.

.

.

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.

IBK

100.00%

0.19

48,255.78

.

.

.

.

.

.

.

.

.

Vote

56.84

0.13

3.45

.

.

.

.

.

.

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.

OneR

98.98%

3.76

5.35

.

.

.

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.

.

.

.

.

J48

99.97%

99.56

5.26

.

.

.

.

.

.

.

.

.

Random Forest

99.99%

10.89

5.63

.

.

.

.

.

.

.

.

.

Random Tree

100.00%

10.45

4.26

.

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