درخت تصمیم: تفاوت میان نسخه‌ها
محتوای حذف‌شده محتوای افزوده‌شده
Pbarjoueian (بحث | مشارکت‌ها) جز ←مزایا |
جز ربات ردهٔ همسنگ (۳۰) +مرتب (۱۴.۹ core): + رده:تجزیه و تحلیل تصمیم |
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خط ۱۴:
[[پرونده:Decision-Tree-Elements.png|490px|left]]
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<!--Drawn from left to right, a decision tree has only burst nodes (splitting paths) but no sink nodes (converging paths). Therefore, used manually, they can grow very big and are then often hard to draw fully by hand. Traditionally, decision trees have been created manually - as the aside example shows - although increasingly, specialized [[software]] is employed.▼
▲Drawn from left to right, a decision tree has only burst nodes (splitting paths) but no sink nodes (converging paths). Therefore, used manually, they can grow very big and are then often hard to draw fully by hand. Traditionally, decision trees have been created manually - as the aside example shows - although increasingly, specialized [[software]] is employed.
Analysis can take into account the decision maker's (e.g. , the company's) [[preference]] or [[utility function]], for example:
سطر ۴۹ ⟵ ۴۸:
== معایب ==
<!--Decision trees:
* For data including categorical variables with different number of levels, [[information gain in decision trees]] are biased in favor of those attributes with more levels.<ref>{{cite conference
|author=Deng,H.|coauthors=Runger, G. ; Tuv, E.
سطر ۹۸ ⟵ ۹۶:
[[رده:درخت تصمیم]]
[[رده:الگوریتم‌های دسته‌بندی]]
[[رده:تجزیه و تحلیل تصمیم]]
[[رده:داده‌کاوی]]
[[رده:نظریه تصمیم]]
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