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In supervised learning, what is the role of the target variable?
Practice Questions
Q1
In supervised learning, what is the role of the target variable?
To provide input features for the model
To evaluate the model's performance
To serve as the output that the model predicts
To determine the model's complexity
Questions & Step-by-Step Solutions
In supervised learning, what is the role of the target variable?
Steps
Concepts
Step 1: Understand that supervised learning is a type of machine learning where we teach a model using labeled data.
Step 2: Identify that labeled data consists of input features (the information we provide) and a target variable (the outcome we want to predict).
Step 3: Recognize that the target variable is the specific value or category we want the model to learn to predict.
Step 4: Realize that the model uses the input features to make predictions about the target variable.
Step 5: Conclude that the target variable is essential because it guides the model in learning the relationship between inputs and outputs.
No concepts available.
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