I am working on some algorithms for anomaly detection
The dataset is clean our anomalies so I want to add some artificial anomalies.
I have added some anomalies. I get the maximum value of the dataset and add 20-25%, meaning these added anomalies are bigger than the max value by 20 to 25%
Are there any other types of anomalies that would be nice to have had in an anomaly detection algorithm dataset?
My dataset is with integers and float