What do you understand by selection bias?
Answer / Anita Gautam
Selection bias occurs when the process of selecting samples for training a Machine Learning model is biased. For example, if we only collect data from cities with warmer climates, our model might not perform well in colder regions.
| Is This Answer Correct ? | 0 Yes | 0 No |
What Are The Three Stages To Build The Model In Machine Learning?
What is the purpose of machine learning?
How will you know which machine learning algorithm to choose for your classification problem?
Explain how is knn different from k-means clustering?
What is ‘Overfitting’ in Machine learning?
Is java used for ai?
What do you understand by Eigenvectors and Eigenvalues?
What is symbolic reasoning?
What are the three stages to build the hypotheses or model in machine learning?
What is the calibration layer in machine learning?
Is Python enough for machine learning?
What are the two paradigms of ensemble methods?
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)