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F Measures, See Image Classification F1 Measure, See Image Luthuli Cs Uiuc  Form

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welcome back in this video I will discuss how to find the different performance metrics like accuracy precision recall and so on given the confusion Matrix in this case we have been given a confusion Matrix with 150 predictions out of 150 predictions uh there are 100 examples where class classified or predicted as yes in this case and 50 examples were predicted as no in this particular case and out of 100 150 examples there are totally 50 examples are of type no and 100 examples are of Type S over here now given this particular data we need to find the different performance Matrix of this particular classifier so first we will try to give some names to each of these particular numbers now if you look at this particular 45 this 45 examples are of type but no actually and they were predicted as no here so that is the reason you can say that it is a true negative in this case and coming back to this particular five these five examples are actually of type no but predicted as s over here s

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