Using ML to tackle disruptive behaviors in gaming@Activision, data science in the metaverse, cyber security - Carly Taylor - the data scientist show #045
The Data Scientist Show - Daliana Liu
00:00
Do You Drop the Outliers?
i used to be a, like, drop the outliers kind of person, a for sure. Now i more o like and embrace the outliers type of person. One thing i've found is that artificially balancing my training data has given me a lot more predictive capability than i would have thought. Yoit always tassi on your normal distribution. There's an imbalanced learn library in be lern a. It's intelern, yes, it's like scalern, but imbalanced learnnd. And also, for this project, you have to really understand how frad can work. So it's kind of a different type of anomaly detection. Acly ye ye.
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