By Jonathan Plutkis
I will be explaining and demonstrating one of the highly known anomaly detection software called XGBoost. The demonstration would be through my laptop, and I will show how it is still able to achieve a high percentage of accuracy. I will also be explaining how we are pushing to get XGBoots into a much smaller device and still achieve a high accuracy detection rate. Explain about the different datasets and dataset sizes that still match results done previously and compare results. And touch base on what is the plan moving forward on how we have faced some rough challenges and backup plans for future testing.
