What is underfitting in machine learning?
An example of an AI chatbot conversation about underfitting in machine learning.
What is underfitting in machine learning?
Underfitting occurs when a model is too simple to capture the underlying patterns in the data.
Can you give me an example of underfitting?
Sure! Imagine trying to fit a straight line to data that has a clear curve; the line won't capture the trend.
How can I tell if my model is underfitting?
You can check the training and validation errors. If both are high, your model is likely underfitting.
What are some ways to fix underfitting?
You can increase model complexity, add more features, or reduce regularization to help fix underfitting.
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