How do I evaluate the performance of my machine learning model?
An example of an AI chatbot conversation about evaluating machine learning models.
How do I evaluate the performance of my machine learning model?
To evaluate your model, you can use metrics like accuracy, precision, recall, and F1 score. What type of model are you using?
I'm using a classification model for image recognition.
Great! For classification, you might want to look at the confusion matrix to understand true positives, false positives, etc.
What is a confusion matrix?
A confusion matrix is a table that is often used to describe the performance of a classification model. It shows the correct and incorrect predictions broken down by class.
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