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
BY Python_Labs🐍
At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
Importantly, that investor viewpoint is not new. It cycles in when conditions are right (and vice versa). It also brings the ineffective warnings of an overpriced market with it.Looking toward a good 2022 stock market, there is no apparent reason to expect these issues to change.
Python_Labs from kr