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alexander-prince OP t1_j5xlrzp wrote

Reply to comment by tdscanuck in ELI5: What is Overfitting in machine learning and why is it bad? by alexander-prince

thanks for the answer! it covers the follow-up question to the first commentator. Just one last question in your example what is the rule of thump to avoid very few variables and too much? like is there an accepted level of accuracy?

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tdscanuck t1_j5xnrlw wrote

It really depends on the dataset and model. In general, the smallest model that meets your requirements is a good idea but that size could range wildly depending on the data format, richness, and required performance.

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