Confusion Matrix Explained
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This slide deck explains what a confusion matrix is and how to interpret it.
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Confusion Matrix Explained
- 1. Confusion Matrix Explained Samuel Bohman
- 2. What is a Confusion Matrix? A common method for describing the performance of a classification model consisting of true positives, true negatives, false positives, and false negatives. It is called a confusion matrix because it shows how confused the model is between the classes.
- 3. True Positives Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0 The model correctly classified 50 apples and 50 oranges.
- 4. True Negatives for Apple The model correctly classified 75 cases as not belonging to class apple. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 5. True Negatives for Orange The model correctly classified 105 cases as not belonging to class orange. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 6. True Negatives for Pear The model correctly classified 115 cases as not belonging to class pear. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 7. False Positives for Apple The model incorrectly classified 15 cases as apples. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 8. False Positives for Orange The model incorrectly classified 10 cases as oranges. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 9. False Positives for Pear The model incorrectly classified 70 cases as pears. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 10. False Negatives for Apple The model incorrectly classified 55 cases as not belonging to class apple. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 11. False Negatives for Orange The model incorrectly classified 30 cases as not belonging to class orange. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0
- 12. False Negatives for Pear The model incorrectly classified 10 cases as not belonging to class pears. Predicted class Apple Orange Pear Actual class Apple 50 5 50 Orange 10 50 20 Pear 5 5 0