How do I evaluate my machine learning model in Python?
An example of an AI chatbot conversation about evaluating machine learning models in Python.
How do I evaluate my machine learning model in Python?
You can evaluate your model using metrics like accuracy, precision, recall, and F1 score. Would you like to see an example?
Yes, please provide an example using scikit-learn.
Sure! First, you need to import the necessary libraries. Then, after training your model, you can use the classification_report function from scikit-learn to get detailed metrics.
What if I want to visualize the performance?
You can use confusion matrices and ROC curves for visualization. Libraries like Matplotlib and Seaborn can help with that.
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