This is part 3 of the 5 part series of videos on image segmentation using traditional machine learning.

Not all features used for machine learning contribute equally towards building the model. The feature importance depends on the type of image and regions of interest for segmentation. This video explains the process of reporting feature rankings during Random Forest training process.

The code from this video is available at:https://github.com/bnsreenu/python_for_microscopists

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#machine-learning