The conversation between human and AI assistant.
In Python how can I test and make sure my model is predicting data right? (beginner asking)
What other techniques can I use to evaluate my model's performance?
Other common performance metrics include accuracy, precision, recall, and F1 score. These metrics are useful for evaluating classification models. For regression models, you can use metrics like mean squared error, root mean squared error, and R squared.