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Table 4

Confusion Matrix and results obtained for machine learning algorithms

AlgorithmsSafeUnsafeAccuracy (%)Precision (%)Recall (%)FPR (%)
Optimized Forest Safe 46 80.64 80.70 97.87 73.33 
Unsafe 11 
SPAARC Safe 47 77.41 77.04 100 93.33 
Unsafe 14 
CS Forest Safe 46 75.80 76.66 97.97 93.33 
Unsafe 14 
REP Tree Safe 46 75.80 76.66 97.87 93.33 
Unsafe 14 
Random Forest Safe 46 79.03 79.31 97.87 80.00 
Unsafe 12 
AlgorithmsSafeUnsafeAccuracy (%)Precision (%)Recall (%)FPR (%)
Optimized Forest Safe 46 80.64 80.70 97.87 73.33 
Unsafe 11 
SPAARC Safe 47 77.41 77.04 100 93.33 
Unsafe 14 
CS Forest Safe 46 75.80 76.66 97.97 93.33 
Unsafe 14 
REP Tree Safe 46 75.80 76.66 97.87 93.33 
Unsafe 14 
Random Forest Safe 46 79.03 79.31 97.87 80.00 
Unsafe 12 
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