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In remote sensing and digital image processing, an error matrix, also known as a confusion matrix, is a crucial tool for assessing the accuracy of classified images. It provides a quantitative method to compare the classified data against reference or ground truth data, highlighting discrepancies and measurement errors in classification results. The matrix is typically organized in a square format where rows represent the classes assigned __________ _________ ___ ________ ____ _______.
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