@hinduja1234 wrote:
I am currently solving one classification problem using decision tree algorithm in python, when I calculated the accuracy of my model I got 90.8% so, I searched the documentation of decision tree , while searching I got one attribute min_samples_split and is default value is 2.I want to know what does it mean and how it values can improve the model performance.
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