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In supervised learning, what is the primary purpose of the training dataset?
Practice Questions
Q1
In supervised learning, what is the primary purpose of the training dataset?
To evaluate model performance
To make predictions on new data
To train the model on known outcomes
To visualize data distributions
Questions & Step-by-Step Solutions
In supervised learning, what is the primary purpose of the training dataset?
Steps
Concepts
Step 1: Understand that supervised learning involves teaching a model using examples.
Step 2: Identify that a training dataset is a collection of these examples.
Step 3: Recognize that each example in the training dataset has input features (like characteristics) and a target label (the correct answer).
Step 4: Learn that the model uses the training dataset to find patterns or relationships between the input features and the target labels.
Step 5: Conclude that the primary purpose of the training dataset is to help the model learn how to make predictions based on new, unseen data.
No concepts available.
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