Interested to Buy Any Domain ? << Click Here >> for more details...
Explain model-based method?
- 1 Answers
- 61 Views
- I also Faced
- E-Mail Answers
Answer / Ziaul Qamar
Model-based methods are a class of data mining algorithms that build predictive models using statistical or mathematical techniques. These models are based on specific assumptions about the underlying structure of the data and aim to make predictions by learning these structures. Examples include decision trees, neural networks, and logistic regression.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is discrete data in data mining world?
Explain the concepts and capabilities of data mining?
What is a sting?
What is smoothing?
Explain model-based method?
Explain constraint-based method?
What are the cons of data mining?
Explain 48 decision trees?
Define pre pruning?
What is hierarchical method?
Explain what is discrete and continuous data in data mining world?
What is continuous data in data mining world?
-
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)
