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I'm currently working on a project where I'm looking to predict the price of Cards. For my dataset, I have 13k+ Cards and for each card I have 7 Attributes and about 15 sold by prices. My question is, when using Random Forest to predict the next price, is 15 prices a bit overfitting and will it be best to take the average of those 15 prices? Or can the algorithm properly run through all 15 prices? Any references you provide would be helpful.
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