How do I interpret error analysis results?

Can you help me understand how to interpret error analysis results?

Sure! Error analysis results typically show the types and frequencies of errors in your data. What specific results do you have?

I have a confusion matrix and some accuracy metrics. What should I look for?

Start by examining the confusion matrix to see where your model is making mistakes. Look for high values on the diagonal and low values off-diagonal.

What do the accuracy metrics tell me about my model's performance?

Accuracy metrics provide a summary of how well your model is performing overall. However, they can be misleading if your classes are imbalanced.

How can I improve my model based on these results?

You can improve your model by analyzing the errors, adjusting your features, or trying different algorithms. Would you like more specific suggestions?