Decision Trees
(ต้นไม้ตัดสินใจ)
Definition
Decision Trees (ต้นไม้ตัดสินใจ) Hard Skill
A decision tree is a graphical representation used to make decisions and predict outcomes by modeling choices and their possible consequences in a tree-like structure.
Expertise Level
Level 1
Basic
1. Understands the basic concept and structure of decision trees.
2. Can identify decision nodes, branches, and outcomes.
3. Able to interpret simple decision trees for straightforward problems.
Level 2
Intermediate
1. Can construct decision trees for moderate complexity problems.
2. Understands concepts like entropy, information gain, and pruning.
3. Uses decision trees to support data-driven decision-making.
Level 3
Advanced
1. Applies decision tree algorithms in machine learning and predictive analytics.
2. Optimizes decision trees through advanced techniques such as boosting and random forests.
3. Analyzes and interprets complex decision tree models for strategic decision-making.
