questions in your own words: ● What is precision, recall, sensitivity, and specificity? How would you explain it to someone new to the field of machine learning? ● What is the precision/recall trade-off? Provide an unique example to illustrate the concept. ● Explain the ROC curve and how it is used.
watch the following videos from the YouTube channel StatQuest:
● Machine Learning Fundamentals: Sensitivity and Specificity
● ROC and AUC, Clearly Explained!
After reading and watching those videos, you should write a short essay that answers the following
questions in your own words:
● What is precision, recall, sensitivity, and specificity? How would you explain it to someone new to
the field of machine learning?
● What is the precision/recall trade-off? Provide an unique example to illustrate the concept.
● Explain the ROC curve and how it is used.
1. The simulation of human intelligence processes by machines, particularly computer systems, is known as artificial intelligence.
2. Expert systems, natural language processing, speech recognition, and machine vision are examples of AI applications.
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