What are the challenges in classification problems?

What are the main challenges in classification problems?

Some main challenges include class imbalance, overfitting, feature selection, and noise in the data.

Can you explain class imbalance?

Class imbalance occurs when one class has significantly more samples than another, making it hard for the model to learn.

How does overfitting affect classification?

Overfitting happens when a model learns the training data too well, including noise, leading to poor generalization.

What can be done to mitigate these challenges?

Techniques like resampling, using different algorithms, and regularization can help mitigate these challenges.