How Recall and True positive rate are related?
Answer / Digvijay Pratap Singh
Recall (also known as sensitivity) is a measure of the proportion of actual positives that are correctly identified, among all the actual positives. True positive rate is another term for recall. They both represent the same concept: the ratio of true positives to the sum of true positives and false negatives.
| Is This Answer Correct ? | 0 Yes | 0 No |
Why is naive bayes better than decision tree?
What are the different types of algorithm methods in machine learning?
Explain the benefit of naive bayes in machine learning?
What is a checkpoint in machine learning?
What is a seq2seq model?
What do you know about bayesian networks?
Please explain the concept of a boltzmann machine.
Describe precision and recall?
What is accuracy score in machine learning?
Explain the difference between L1 and L2 regularization?
Explain the function of Unsupervised Learning?
What is the Model Building in Machine Learning?
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)