What is class weight adjustment in machine learning?
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What is class weight adjustment in machine learning?
Class weight adjustment is a technique used to handle imbalanced datasets by assigning different weights to classes.
Why is it important to adjust class weights?
It's important because it helps improve the model's performance on minority classes, reducing bias.
How do I implement class weight adjustment in Python?
You can use the class_weight parameter in libraries like scikit-learn when training your model.
Can you give an example of how to set class weights?
Sure! You can set class weights like this: class_weight={0: 1, 1: 5} to give more importance to class 1.
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