A hospital wants to develop a model to determine whether a patient has a specific disease based on diagnostic data.
Which type of machine learning technique is most suitable for this scenario?
Classification
Regression
Clustering
Reinforcement Learning
Classification is used when the goal is to assign data points to discrete categories based on input features. In this case, the hospital aims to categorize patients as having the disease or not, which is a typical classification problem.
Regression is meant for predicting continuous numerical values, such as prices or temperatures.
Clustering is where data points are grouped based on similarity without predefined labels, which doesn't fit the need to assign patients to known categories.
Reinforcement Learning involves learning optimal actions through trial and error, which is not applicable here.
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