A hospital wants to develop a machine learning model to estimate the length of stay for patients based on their medical history and treatment plans.
Which type of machine learning technique is most suitable for this scenario?
Regression
Association Rule Mining
Classification
Clustering
Regression techniques are appropriate when the target variable is a continuous numerical value, like estimating the length of hospital stay. Regression models help predict quantitative outcomes based on input features.
Classification techniques are for categorical target variables.
Clustering is for grouping data without predefined labels.
Association Rule Mining is for discovering relationships between variables in large datasets.
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