What is a use case for classification?
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A. B. C. D.C
Two-class classification provides the answer to simple two-choice questions such as Yes/No or True/False.
Incorrect Answers:
A: This is Regression.
B: This is Clustering.
D: This is Regression.
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-model-clusteringClassification is a type of supervised machine learning algorithm that is used to predict the class or category of a given input based on the features or attributes of that input. In other words, it is used to classify data into different categories or groups based on certain criteria.
Out of the given options, the use case for classification is option C, which is predicting whether someone uses a bicycle to travel to work based on the distance from home to work.
This is because the problem involves classifying individuals into two groups: those who use a bicycle to travel to work and those who don't. The input or features used for this problem is the distance from home to work, and the output or label is whether the person uses a bicycle or not.
Classification algorithms can be trained using historical data that contains examples of individuals and their corresponding transportation modes. Once the algorithm is trained, it can be used to predict the transportation mode of new individuals based on their distance from home to work.
Option A, predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night, is not a use case for classification because it involves predicting a continuous value, which is a regression problem.
Option B, analyzing the contents of images and grouping images that have similar colors, is not a use case for classification because it involves clustering or unsupervised learning, where the algorithm tries to group similar data points together without any predefined labels.
Option D, predicting how many minutes it will take someone to run a race based on past race times, is not a use case for classification because it also involves predicting a continuous value, which is a regression problem.