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I have generated a range of predicted data. I also have the label and an actual representation of the data. How do I evaluate if my predicted data is any good?

The predicted value represents the values when there is an intrusion in the system, and the actual values are without any intrusion. The label shows if there is an intrusion or not.

How can I show that my predictor works to ascertain intrusion? I am confused as to how to go about it. I have put an example of the data I have. Label A indicates the presence of intrusion and label N shows no intrusion.

Predicted Value Label Actual Value
0.5 N 0.5
0.5 N 0.5
0.5 N 0.5
0.5 N 0.5
0.5 N 0.5
0.5 N 0.5
0.512 N 0.512
0.512 N 0.512
0.652 A 0.541
0.638 N 0.541
0.625 A 0.541
0.694 A 0.525
0.763 A 0.527
0.71 N 0.51
0.75 A 0.50
0.83 A 0.50
0.90 A 0.51
0.80 N 0.511
0.5 N 0.5
0.5 N 0.5
0.5 N 0.5

The data goes similarly for a long list. What could be the best way I could use to evaluate my prediction? I was thinking of finding TPR and FPR, but I am completely lost as to how I should proceed.

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