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Advances, Systems and Applications

Table 4 Results gained by the CHAID model

From: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree

Results for Output Field Label

Comparing $R-Label with Label

 Partition

1_Training

 

2_Testing

 

 Correct

89977

99.78%

38512

99.72%

Wrong

202

0.22%

108

0.28%

Total

90179

 

38620

 

Confidence Values Report for $RC-Label

“Partition”=1_Training

  Range

0.452-1.0

  Mean Correct

0.861

  Mean Incorrect

0.759

  Always Correct Above

0.972 (0.34% of the cases)

  Always Incorrect Below

0.452 (0% of the cases)

  99.78% Accuracy Above

0.0

  2.0 Fold Correct Above

0.737 (99.89% of the cases)

“Partiotion”= 2_Testing

  Range

0.452-1.0

  Mean Correct

0.861

  Mean Incorrect

0.759

  Always Correct Above

0.961 (0.76% of the cases)

  Always Incorrect Below

0.452 (0% of the cases)

  99.78% Accuracy Above

0.0

  2.0 Fold Correct Above

0.779 (99.86% of the cases)