Classifier: Two different classes have been identified: anomaly and benign. 2) DT Supervised learning performs classification based on data A DT often uses. The same data is used to create an set of strings, an array of symbols and a set of symbols. Each benchmark application is executed ten times, and a standard deviation. Benchmarking of Machine Learning for Anomaly Based Intrusion Detection. It basically creates an array containing 50 random 50 character strings, gets a sample of 20 and checks if all the sample values are included. - Run it to test the power of your device - See amazing real-time graphics brought to life by new Anomaly 2 tech - Help us collect important performance data stuff.
#Anomaly 2 benchmark code
While benchmarking some code to find out, if using a set is really faster than array when checking for elements included via include? I found some performance anomaly regarding strings and symbols inside the collection.įirst the script I used for benchmarking.