What tools can I use for model evaluation?

What tools can I use for model evaluation?

There are several tools you can use for model evaluation, such as Scikit-learn, TensorFlow, and Keras. Each offers various metrics and visualization options.

Can you explain how to use Scikit-learn for this?

Sure! Scikit-learn provides functions like train_test_split for splitting data and cross_val_score for cross-validation. You can also use metrics like accuracy, precision, and recall.

What about visualization tools?

For visualization, you can use Matplotlib and Seaborn to create plots that help you understand model performance, like confusion matrices and ROC curves.

Are there any specific metrics I should focus on?

It depends on your problem type. For classification, focus on accuracy, precision, recall, and F1 score. For regression, consider RMSE, MAE, and R-squared.