Why Accuracy is important in machine learning?
Answer / Kusum Rani
Accuracy is an essential evaluation metric in machine learning because it provides a simple and intuitive measure of how well the model is performing. However, it should be used with caution as it may give misleading results when imbalanced classes are present.
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you understand by Eigenvectors and Eigenvalues?
What does linear in ‘linear regression’ actually mean?
What is Model Selection in Machine Learning?
What are standardization and normalisation? Give one advantage of each over the other?
What is machine learning in artificial intelligence?
How will you explain machine learning to a layperson?
Tell us what are some differences between a linked list and an array?
Why is naive bayes so naive?
How do I become a machine learning scientist?
Is machine learning jobs in demand?
Explain the 3 types of ai?
How will you design an email spam filter?
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)