What are labels in machine learning?
An example of an AI chatbot conversation about understanding labels in machine learning.
What are labels in machine learning?
Labels in machine learning are the output values that a model is trained to predict. They represent the categories or values assigned to data points.
Can you give me an example of labels in a dataset?
Sure! In a dataset for image classification, labels could be 'cat', 'dog', or 'bird', indicating the type of animal in each image.
How do labels affect the training of a model?
Labels guide the learning process by providing the correct answers during training, allowing the model to adjust its parameters to improve accuracy.
What happens if the labels are incorrect?
Incorrect labels can lead to poor model performance, as the model learns from misleading information, resulting in inaccurate predictions.
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