- Joined
- Mar 29, 2016
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exactly. so shut the fu*k up you uneducated C*nt. next time you talk $hit at least come prepared.
WPEM scum.
lol...I guess I'm uneducated because I don't know who some random lady is. You must be omniscient.
Bless me with your wisdom...I'm trying to choose a machine learning algorithm to predict whole life insurance policy churn. Which should I use to create the most linear decision boundary to avoid overfitting my data; NaiveBayes, Support Vector Machines, Decision Tree? How should I configure my Gamma parameter if you thing SVM is the answer? How many parameters should I use in my SelectKBest function?
I've got other things to deal with than some lady SPLC designated anti-Muslim.