and what it means is they say a prediction is counted as a miss if it does not belong to Y I or Y J so you have a sample right here X I in the sample right here X J and you look at what the classifier says in between the two data points so you just interpolate the two data points and just measure what the classifier says and whenever the classifier either says y I or Y J either either a label of those two data points you count it as correct and you only count it as incorrect if it says something else and you can see here if