How can I prevent underfitting in my machine learning model?
An example of an AI chatbot conversation about preventing underfitting in machine learning models.
How can I prevent underfitting in my machine learning model?
To prevent underfitting, ensure your model is complex enough to capture the underlying patterns in the data.
What are some techniques to increase model complexity?
You can try using more features, increasing the number of layers in a neural network, or using more complex algorithms.
Is it possible to have too many features?
Yes, having too many features can lead to overfitting, so it's important to find a balance.
How do I know if my model is underfitting?
You can check the training and validation error; if both are high, your model is likely underfitting.
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