Interested to Buy Any Domain ? << Click Here >> for more details...
Explain me what cross-validation technique would you use on a time series dataset?
- 1 Answers
- 162 Views
- I also Faced
- E-Mail Answers
Answer / Vidhu Sharma
For time series data, techniques like Time Series Cross-Validation (TSCV) can be used. It involves splitting the time series into segments based on time, training models on each segment, and evaluating performance using the remaining part of the same segment. This approach helps account for the sequential nature of the data.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is the use of gradient descent?
What is bias-variance trade-off in machine learning?
Tell me what are your favorite use cases of machine learning models?
What is the difference between inductive machine learning and deductive machine learning?
How do you control for biases?
Is octave good for machine learning?
Why is it important for the royal society to be doing a project about machine learning?
Is machine learning jobs in demand?
What's the “kernel trick” and how is it useful?
Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?
What is the difference between bayes and naive bayes?
What is the use of naive bayes?
-
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)
