Interested to Buy Any Domain ? << Click Here >> for more details...
How is a decision tree pruned?
- 1 Answers
- 101 Views
- I also Faced
- E-Mail Answers
Answer / Yogesh Pratap
A decision tree can be pruned (or simplified) by removing uninformative branches or subtrees that do not contribute significantly to the final classifications. Pruning reduces overfitting and improves the generalization ability of the decision tree.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is keras sequential model?
Is bayesian a machine learning?
Explain me machine learning in to a layperson?
What is ‘Overfitting’ in Machine learning?
What is bayes' theorem?
How is machine learning used in day-to-day life?
What is the use of gradient descent?
What are the types of machine learning?
What is recall?
Can naive bayes be used for multiclass classification?
Which operating system is best for machine learning?
Why naive bayes is called naive?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
