What is roc curve and its working?
Answer / Anukrati Srivastava
ROC Curve (Receiver Operating Characteristic curve) is a plot showing the performance of a binary classifier system as its discrimination threshold changes. It demonstrates the tradeoff between the true positive rate and false positive rate, helping to evaluate the balance between sensitivity and specificity.
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you know about tensorflow managers?
What difference do you find in type1 and type 2 errors?
How can you implement speech recognition in Tensorflow ?
Describe the common steps to most tensorflow algorithms?
What is max pooling?
How can your convert numpy arrays to tensors ?
Explain tensorflow serving?
Is the rtx 2070 better than the gtx 1080?
What is tensorflow and what is it used for?
What do you mean by Tensor in TensorFlow?
What is difference between tensorflow and theano ?
Explain few options to load data into tensorflow.
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)