PYLAB Telegram 574
از نسخه 0.22 scikit-learn که سال 2020 منتشر شده بود، طبقه بندهای بر مبنای درخت تصمیم را میتوان prune یا هرس کرد.
البته قاعدتا استفاده از جنگل ها منطقی تره برای پاسخ دقیقتر، اما وقتی بحث سر تفسیر پذیری مدل هست ممکنه خیلی به کار بیاد:

https://scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html#sphx-glr-auto-examples-tree-plot-cost-complexity-pruning-py



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از نسخه 0.22 scikit-learn که سال 2020 منتشر شده بود، طبقه بندهای بر مبنای درخت تصمیم را میتوان prune یا هرس کرد.
البته قاعدتا استفاده از جنگل ها منطقی تره برای پاسخ دقیقتر، اما وقتی بحث سر تفسیر پذیری مدل هست ممکنه خیلی به کار بیاد:

https://scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html#sphx-glr-auto-examples-tree-plot-cost-complexity-pruning-py

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