In supervised learning, what is the role of the training set?
Practice Questions
1 question
Q1
In supervised learning, what is the role of the training set?
To evaluate the model's performance
To tune hyperparameters
To train the model on labeled data
To visualize the data
The training set is used to train the model by providing it with labeled data, allowing it to learn the relationship between inputs and outputs.
Questions & Step-by-step Solutions
1 item
Q
Q: In supervised learning, what is the role of the training set?
Solution: The training set is used to train the model by providing it with labeled data, allowing it to learn the relationship between inputs and outputs.
Steps: 5
Step 1: Understand that supervised learning is a type of machine learning where we teach a model using examples.
Step 2: Know that a training set is a collection of data that includes both inputs (features) and outputs (labels).
Step 3: The model looks at the training set to learn how to predict the output based on the input.
Step 4: By analyzing the training set, the model identifies patterns and relationships between the inputs and outputs.
Step 5: Once the model has learned from the training set, it can make predictions on new, unseen data.
