Question

Find number of false positives as well as false negatives pandas

Answer 1

A false positive is where you receive a positive result for a test, when you should have received a negative results. It’s sometimes called a “false alarm” or “false positive error.” It’s usually used in the medical field, but it can also apply to other arenas (like software testing). Some examples of false positives

Answer 2

The prediction is a gray-level image that comes from my classifier.

The truth_image is also a gray-level image, but its the correct image that prediction should try to approximate.

The mask_image segmentates the ROI ( region of interest), when its pixel value is 1, means its inside the region of interest, if its 0, then we should ignore and move on to the next pixel.