@Shrikantai wrote:
Suppose I have a classification problem. How do I know when to use which algorithm to use like whether to use cat boost, lightgbm, xgboost, random forest, SVM etc. If my dataset has 50% categorical data and 50% continuous data. I am not considering the training speed. Is there any thumb rule to follow?
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