What are advanced class weight techniques in machine learning?
An example of an AI chatbot conversation about advanced techniques for class weighting in ML.
What are advanced class weight techniques in machine learning?
Advanced class weight techniques help address class imbalance by assigning different weights to classes during training.
How do these techniques improve model performance?
They help the model focus more on underrepresented classes, reducing bias and improving overall accuracy.
Can you give examples of these techniques?
Sure! Techniques include cost-sensitive learning, focal loss, and using ensemble methods with weighted samples.
Are there any specific libraries that support these techniques?
Yes, libraries like Scikit-learn, TensorFlow, and PyTorch offer built-in support for implementing class weights.
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