What do you understand by true positive rate and false-positive rate?
- Naveen
- 0
True Positive rate (TRP) is the ratio of True Positives to True Positives and False Negatives. It is the probability that an actual positive will test as positive.
TPR = TP / TP + FN
The False Positive Rate (FPR) is the ratio of the False Positives to all the positives (True positives and false positives). It is actually negative.
FPR = FP / TP + FP
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Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.
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