Recursive Feature Selection and Intrusion Classification in NSL-KDD Dataset Using Multiple Machine Learning Methods

Computer Science

• Machine Learning 100%
• Feature Selection 100%
• Extreme Gradient Boosting 100%
• Multiple Machine 100%
• Decision Trees 66%
• Random Decision Forest 66%
• Support Vector Machine 66%
• Experimental Result 33%
• Computer Network 33%
• Performance Model 33%
• Malicious Activity 33%
• Nave Bayes 33%
• Critical Component 33%
• Unauthorized Access 33%
• Network Resource 33%
• Distinctive Feature 33%
• Modern Computer 33%

Keyphrases

• KDD Dataset 100%