Consider the results of a medical experiment that aims to predict whether…
2017
Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person’s medical characteristics and the target variable is binary: 1 for those who are likely to develop myopia and 0 for those who aren’t. This can be best classified as
- A.
Regression
- B.
Decision Tree
- C.
Clustering
- D.
Association Rules
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Correct answer: B
This problem requires predicting a binary outcome (myopia or not) based on input features. Since there is a specific target variable to predict, it is a supervised learning task. Predicting categories (0 or 1) classifies this as a classification problem. Decision Trees are effective algorithms for handling binary classification tasks.