Explain why is naive bayes better than decision tree?
- 1 Answers
- 193 Views
- I also Faced
- E-Mail Answers
Answer / Akhilesh Kumar Awasthi
Naive Bayes is better than decision trees in certain scenarios due to its simplicity and performance. Naive Bayes often outperforms decision trees on text classification problems, especially when the number of features (words) is much larger than the number of samples.
| Is This Answer Correct ? | 0 Yes | 0 No |
Tell me how a roc curve works?
How do I learn Python machine learning?
Explain the two components of Bayesian logic program?
What do you understand by cluster sampling?
Is machine learning artificial intelligence?
What is the baseline for machine learning?
What is a Confusion Matrix?
Comparision between Machine Learning and Big Data?
Explain how do you ensure you're not overfitting with a model?
Do you know what's the “kernel trick” and how is it useful?
What do you understand by selection bias?
How bayes theorem is useful in a machine learning context?
-
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)
