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Which approach is generally strongest for tabular business data?

A Gradient boosting implementations such as XGBoost, LightGBM or CatBoost
B Deep convolutional networks
C Recurrent neural networks
D K-means clustering

Answer

Gradient boosting implementations such as XGBoost, LightGBM or CatBoost

Well-tuned gradient boosting usually outperforms neural networks on tabular problems, which is a useful practical point to make in interviews.

All Machine Learning MCQs

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