What is imbalanced data?
An example of an AI chatbot conversation about imbalanced data in machine learning.
Can you explain what imbalanced data is?
Imbalanced data refers to datasets where the classes are not represented equally, leading to biased models.
Why is imbalanced data a problem in machine learning?
It can cause models to be biased towards the majority class, resulting in poor performance on the minority class.
How can I handle imbalanced data?
You can use techniques like resampling, synthetic data generation, or adjusting class weights to address it.
What are some examples of imbalanced datasets?
Common examples include fraud detection, disease diagnosis, and customer churn prediction.
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