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What is producers and users accuracy?
User accuracy refers how actually classified map is real on the ground. Producer accuracy refer to the classification scheme. There must more users and producer accuracy. If your user, overall, producer accuracy are high then kappa coefficient will also high.
What is producer’s accuracy?
Producer’s Accuracy is the map accuracy from the point of view of the map maker (the producer). This is how often are real features on the ground correctly shown on the classified map or the probability that a certain land cover of an area on the ground is classified as such.
How do you calculate producer accuracy and user accuracy?
– Calculated by dividing the number of correctly classified pixels in each category by either the total number of pixels in the corresponding column; Producer’s accuracy, or row; User’s accuracy. – Represents the probability that a pixel classified into a given category actually represents that category on the ground.
How is user accuracy calculated?
In statistical terms, the user’s accuracy measures errors of commission (assigning pixels to an incorrect category). It is calculated as the number of pixels correctly identified as being in a given class divided by the total number of pixels assigned to that class.
What is user accuracy?
How to describe user’s and producer’s Accuracy?
Standard Terminology for User’s and Producer’s Accuracy. User’s accuracy Pr( Y = c | X = c); Producer’s accuracy Pr( X = c | Y = c); where X is the estimator of a particular land use, Y is the random variable associated with the true unobserved land use, and c is a class in a finite set of classes (the support of X and Y).
What does producer’s accuracy and users accuracy mean in Weka?
Almost everything is new to me so I have a very basic idea of the concepts and might be the wrong meaning, however, I was showing my supervisor some results of my experiments and he asked for the values of producer’s accuracy and users’ accuracy. In weka, you get a result like this:
How to calculate Kappa for user and producer?
Therefore, the User’s accuracy for V.1 would be (10/13)*100%. Similarly, the Producer’s for V.1 (10/15)*100%. I would have to cbind a new column for User’s accuracy, and rbind a row for Producer’s accuracy. I assume I can use melt from the reshape2 package to format the data in a table that can be used to calculate the kappa.
When do you talk about estimated user accuracy?
So you should talk about “estimated user accuracy” if you derive it from sampling (in practice, the indices are always estimated, this is why some people “forget” to mention it).