I am trying to understand how to interpret the ‘out of bag error’ - which is displayed to me after setting in training applet. I can choose between three different Methods to select the features. As recommend, I used the ‘Filter Method’. After running the feature selection I got a result like this:
with an ‘obb_error=0,770’. How can I interpret the out of bag error score? My method has an error probability of 0.7%?
How should I use the suggestion features?
The ‘out of bag error’ is applied using my annotations from all the images in the training applet. Is it advisable to zoom into the image, if so how much? (To increase the speed of the process)
Thanks for any further advices,