In the context of supervised learning, what is a 'label'?

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Question: In the context of supervised learning, what is a \'label\'?

Options:

Correct Answer: The output variable that the model is trying to predict

Solution:

In supervised learning, a label is the output variable that the model aims to predict based on input features.

In the context of supervised learning, what is a 'label'?

In the context of supervised learning, what is a 'label'?

Step 1: Understand that supervised learning is a type of machine learning where we teach a model using examples.
Step 2: In supervised learning, we have two main components: input features and output labels.
Step 3: Input features are the data we provide to the model to help it learn (like images, text, or numbers).
Step 4: A label is the correct answer or output we want the model to predict (like 'cat' or 'dog' for an image).
Step 5: The model learns to associate the input features with the correct labels during training.

Label in Supervised Learning – A label is the output variable that the model aims to predict based on input features.