What are class weights in logistic regression?

What are class weights in logistic regression?

Class weights are used in logistic regression to handle imbalanced datasets by assigning different weights to classes.

How do I set class weights in my logistic regression model?

You can set class weights using the class_weight parameter in libraries like scikit-learn when fitting your model.

Can you give me an example of using class weights in Python?

Sure! Here's a simple example:

from sklearn.linear_model import LogisticRegression
model = LogisticRegression(class_weight={0: 1, 1: 5})
model.fit(X_train, y_train)

What happens if I don't use class weights?

If you don't use class weights, the model may be biased towards the majority class, leading to poor performance on the minority class.