What is the advantage of performing dimensionality reduction before fitting an svm?
- 1 Answers
- 407 Views
- I also Faced
- E-Mail Answers
Answer / Praphull Kumar Yadav
Performing dimensionality reduction before fitting a Support Vector Machine (SVM) has several advantages: It reduces the computational complexity, decreases overfitting by simplifying the data, and improves interpretability by reducing the number of features.
| Is This Answer Correct ? | 0 Yes | 0 No |
Can you write the formula to calculate r-square?
What do you understand by ensemble learning?
How do data scientists code in r?
What are the different deep learning frameworks?
What is a data science job?
What jupyter used?
How does data cleaning plays a vital role in the analysis?
A certain couple tells you that they have two children, at least one of whom is a girl. What is the probability that they have two girls?
What is an outlier? How do you treat outlier data?
What is the difference between an analyst and a data scientist?
Develop an algorithm to sort two lists of sorted integers into a single list.
What are Important things to remember for ggplot?
-
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)
