What is the impact of classification in machine learning?

What is the impact of classification in machine learning?

Classification in machine learning helps in categorizing data into predefined classes, which is crucial for decision-making.

Can you give me some examples of classification tasks?

Sure! Examples include spam detection in emails, image recognition, and sentiment analysis in text.

How does classification affect the accuracy of a model?

The choice of classification algorithm and the quality of training data significantly influence the model's accuracy.

What are some common algorithms used for classification?

Common algorithms include Logistic Regression, Decision Trees, Support Vector Machines, and Neural Networks.

Are there any challenges associated with classification?

Yes, challenges include dealing with imbalanced datasets, overfitting, and selecting the right features.