How do I choose class weights for my model?
Choosing class weights depends on the class distribution in your dataset. If you have imbalanced classes, you might want to assign higher weights to the minority class.
Can you give me an example of how to calculate those weights?
Sure! You can use the formula: weight = total number of samples / (number of classes * number of samples in class). This helps balance the influence of each class.
What if I have a multi-class classification problem?
In a multi-class scenario, you can calculate weights for each class individually using the same formula, ensuring that each class is appropriately represented.
Are there any libraries that can help with this?
Yes! Libraries like Scikit-learn provide utilities to compute class weights automatically, which can simplify the process.
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