What is the impact of class imbalance on machine learning models?

What is the impact of class imbalance on machine learning models?

Class imbalance can lead to biased models that perform poorly on underrepresented classes, affecting accuracy.

How can I detect class imbalance in my dataset?

You can detect class imbalance by visualizing class distributions using bar charts or calculating class ratios.

What techniques can I use to handle class imbalance?

Common techniques include resampling methods like oversampling, undersampling, and using algorithms that are robust to imbalance.

Does class imbalance affect all types of models equally?

Not necessarily; some models, like decision trees, may handle imbalance better than others, like logistic regression.

Can you give examples of real-world applications affected by class imbalance?

Sure! Applications like fraud detection and disease diagnosis often face class imbalance issues.