Confusion Matrix
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
3415 194 0 0
0 0 0 0
0 0 0 0
0 0 160 82667
I got the result of 4*4 confusion matrix like above for Classification. While finding Sensitivity from the confusion matrix the result occured is NaN since i use the formula as True Negative /(True Negative+False Positive). How can I rectify this ? Can anyone please suggest how i can interpret the result?
[EDITED, matrix formatted, Jan Simon]
0 commentaires
Réponse acceptée
the cyclist
le 20 Avr 2012
Assuming your array is the output of the confusionmat() function http://www.mathworks.com/help/toolbox/stats/confusionmat.html, I believe the correct interpretation is as follows:
You have 3,609 events that are known to be category 1; you have correctly classified 3,415 of them and misclassified 194 of them as being in category 2.
You have no events that are known to be category 2 or 3.
You have 82,827 events that are known to be category 4; you have correctly classified 82,667 of them and misclassified 160 of them as being in category 3.
[I may have mixed up the "known" and "predicted" dimensions, but I don't think so.]
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Image Data Workflows dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!