Why is accuracy important in classification tasks?

Why is accuracy important in classification tasks?

Accuracy is crucial in classification tasks because it directly impacts the reliability of the model's predictions.

Can you give me an example of where accuracy matters?

Sure! In medical diagnosis, a high accuracy rate is essential to ensure patients receive the correct treatment.

What happens if the accuracy is low?

Low accuracy can lead to misclassifications, which may result in harmful consequences, especially in critical fields.

How can we improve accuracy in classification models?

Improving accuracy can involve using better algorithms, more training data, and feature engineering to enhance model performance.