Finding Accuracy between two patterns

Question

I have faced problem with finding the similarity scores between two patterns. For example, I have normal ECG pattern,

and abnormal ECG pattern

Then I want to get find the accuracy of normal pattern while comparing with abnormal ECG pattern. So my data consists of ID, datetime, Seq and Value. First I was thinking of using time series approach. However, it doesn't solve my problem. So could anyone help me with that?

Answer 1

I'm not completely sure i understood the question but i can't coment right now.

If you want to get the accuracy of the second plot comparing to the first plot, there are many ways, a simple and usefull one is the mean absolute error were you add all the values \delta = \sum (x_expected - x_obtain)^2 but this accuracy methods depends on how you want to compare.

Here in the tensorflow.keras documentation you can find many diferent metrics to decide how to compare the graphs.