Hi,
I have an extremely unbalanced image data set (10:1 ratio between positives and negatives) which I want to analyze in the Pixel Classification workflow. I am concerned about overfitting with the large class imbalance, and I wanted to know whether the dataset Ilastik uses to process new images is the trained images (i.e. it will reflect the class bias) or if it is only using the pixels which I labelled? If I label equal numbers of each class will that circumvent the class imbalance in my data?
Thanks in advance!
@ilastik_team @k-dominik