I am a new user in StackExchange and a new learner of Data Science. I am working on better understanding how to estimate the results collected, specifically fake users extracted from a dataset running some analysis.
Using a specific algorithm, I found some users
and I would like to estimate accuracy of my algorithm comparing with the dataset which contains all the fake users manually labelled:
As you can see, there are some users, in my extracted list (
User_Alg), who are missing, i.e. not included in the list manually labelled (all the fake users in the dataset;
I have thought to use a confusion matrix to check the accuracy, but I would like to know from people with more experience in statistics and machine learning than me, if such method can be ok and how it looks like, or if you recommend another approach.
Thanks for your attention and your time.