Why Accuracy is important in machine learning?
- 1 Answers
- 281 Views
- I also Faced
- E-Mail Answers
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 |
How do deductive and inductive machine learning differ?
What were the last machine learning papers you read? Why do you think the was important?
What are the three stages to build any model in machine learning?
What is the difference between Entropy and Information Gain?
Describe the classifier in machine learning.
“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?
Difference between Classification and Regression?
What is collaborative filtering in machine learning?
What are the five popular algorithms we use in machine learning?
What is an Incremental Learning algorithm in ensemble?
Tell us what is decision tree classification?
Tell me what is the difference between bias and variance?
-
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)
