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Part I: Probability For each of the following problems, you should write your answer as an expression. Do not give the final numeric value. For example, you should write C(4,2)/24 instead of 0.375. 6. In machine learning, "the task of identifying what an image represents is called image classification" Suppose that an image classification model is trained to recognize images of cats. This model classifies 95% of cat images correctly (that is, it classifies them as cats) and 70% of non-cat images correctly (that is, it classifies them as not cats). Assume that the probability of an image being a cat is 40%. 6.1 What is the probability that an image is a cat if the model classifies it as a cat? 6.2 What is the probability that an image is a cat if the model classifies it as not a cat? 6.3 What is the probability that an image is not a cat if the model classifies it as a cat? 6.4 What is the probability that an image is not a cat if the model classifies it as not a cat?

Part I: Probability For each of the following problems, you should write your answer as an expression. Do not give the final numeric value. For example, you should write C(4,2)/24 instead of 0.375. 6. In machine learning, "the task of identifying what an image represents is called image classification" Suppose that an image classification model is trained to recognize images of cats. This model classifies 95% of cat images correctly (that is, it classifies them as cats) and 70% of non-cat images correctly (that is, it classifies them as not cats). Assume that the probability of an image being a cat is 40%. 6.1 What is the probability that an image is a cat if the model classifies it as a cat? 6.2 What is the probability that an image is a cat if the model classifies it as not a cat? 6.3 What is the probability that an image is not a cat if the model classifies it as a cat? 6.4 What is the probability that an image is not a cat if the model classifies it as not a cat?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Part I: Probability For each of the following problems, you should write your answer as an expression. Do not give the final numeric value. For example, you should write C(4,2)/24 instead of 0.375. 6. In machine learning, "the task of identifying what an image represents is called image classification" Suppose that an image classification model is trained to recognize images of cats. This model classifies 95% of cat images correctly (that is, it classifies them as cats) and 70% of non-cat images correctly (that is, it classifies them as not cats). Assume that the probability of an image being a cat is 40%. 6.1 What is the probability that an image is a cat if the model classifies it as a cat? 6.2 What is the probability that an image is a cat if the model classifies it as not a cat? 6.3 What is the probability that an image is not a cat if the model classifies it as a cat? 6.4 What is the probability that an image is not a cat if the model classifies it as not a cat?
Transcribed Image Text:Part I: Probability For each of the following problems, you should write your answer as an expression. Do not give the final numeric value. For example, you should write C(4,2)/24 instead of 0.375. 6. In machine learning, "the task of identifying what an image represents is called image classification" Suppose that an image classification model is trained to recognize images of cats. This model classifies 95% of cat images correctly (that is, it classifies them as cats) and 70% of non-cat images correctly (that is, it classifies them as not cats). Assume that the probability of an image being a cat is 40%. 6.1 What is the probability that an image is a cat if the model classifies it as a cat? 6.2 What is the probability that an image is a cat if the model classifies it as not a cat? 6.3 What is the probability that an image is not a cat if the model classifies it as a cat? 6.4 What is the probability that an image is not a cat if the model classifies it as not a cat?
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