How do I calculate the accuracy of my model?
An example of an AI chatbot conversation about calculating model accuracy.
How do I calculate the accuracy of my model?
To calculate accuracy, divide the number of correct predictions by the total number of predictions.
Can you give me a formula for that?
Sure! The formula is: Accuracy = (Number of Correct Predictions) / (Total Predictions) * 100.
What if I have a confusion matrix?
If you have a confusion matrix, accuracy can be calculated as: Accuracy = (TP + TN) / (TP + TN + FP + FN), where TP is true positives, TN is true negatives, FP is false positives, and FN is false negatives.
Is accuracy the best metric to use?
Not always. It depends on your dataset and problem. For imbalanced datasets, consider metrics like precision, recall, or F1-score.
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