differences between errors and frauds
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The mean sum of squares due to error: this is the sum of the squares of the differences between the observed values and the predicted values divided by the number of observations.
Differences between Classification and Tabulation
The difference between low percent error and high percent error is one is low and the other is high
Bias is systematic error. Random error is not.
To find the percentage difference between two images, you first need to quantify the differences between them, typically by comparing pixel values. One common method is to calculate the mean squared error (MSE) or the root mean squared error (RMSE) between the corresponding pixels of the images. Once you have the error value, you can express the percentage difference by dividing this error by the maximum possible value (e.g., the maximum pixel value) and multiplying by 100. This will give you a percentage that represents how much the two images differ from one another.