Explain me what cross-validation technique would you use on a time series dataset?
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 machine learning good for?
How will you choose the most appropriate machine learning algorithm for your classification problem?
What is data augmentation? Can you give some examples?
Mention the difference between Data Mining and Machine learning?
Tell me what are the last machine learning papers you've read?
How will you set the threshold for credit card fraud detection model?
What kind of problems lend themselves to machine learning?
Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?
What’s the difference between Type I and Type II error?
How is KNN different from K-means clustering?
What is encoder and decoder in machine learning?
What is the difference between bayes and 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)