Hi all,

I am doing an object based Land Use changes classification and I have my 
sample training with almost 20000 pixels. I used the TrainImagesClassifier 
and selected the ratio between training and validation samples to be 70% 
training and  30% validation.

As we know, this tool generates 2 files, one is the transition matrix for 
the validation set and the other one is .txt file for the training set. I 
would like to have a transition matrix also for my training set. But since 
its generates only a text file, I am not able to Compute a Confusion Matrix 
for it. I can use this text file only for the Image Classification but I do 
not know how to access the performance for the training sample based on the 
F-score, precision, recall and overall accuracy.

I would like to know if it is possible to* calculate a confusion matrix for 
this training samples*. I could have used my original shapefile to do that, 
but since the TrainImagesClassifier uses some calculation such as the 
maximal size of the available validation sample list per class will be 
equal to the surface area of the smallest class multiplied by the 
validation sample ratio, I do not know exactly which samples were selected 
for the training and validation samples.

Thanks for any help!

Cheers,
Thayse Nery

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