What are class weights in machine learning?

What are class weights in machine learning?

Class weights are used to address class imbalance in datasets by assigning different weights to classes during training.

Can you give me an example of how to implement class weights?

Sure! In Python's scikit-learn, you can set class weights in the model like this: class_weight='balanced'.

What effect do class weights have on model performance?

Class weights can improve model performance on minority classes by reducing bias towards majority classes, leading to better overall accuracy.

Are there any drawbacks to using class weights?

Yes, using class weights can sometimes lead to overfitting on minority classes if not tuned properly.