I want to figure out how routers correlate between each other. Like, if a specific error occurred in router A, and almost at the same time the error occurs in router B, they probably have some connection with each other (are at one line).
Suppose I have a dataframe that looks like this:
|Router|Error|Duration|Timestamp | |DB-XX |GSM |26.5374 |2019-05-01 00:20:14| |DT-XY |AUC |15.5400 |2019-05-01 01:15:01| |DR-YY |AUC |02.0333 |2019-05-01 01:17:13| |DP-YX |LOC |45.2609 |2019-05-01 00:01:10|
What is the best way to deal with it? Regression (one vs the rest) for each router? The problem is, that there are hundreds of models and I also want to reduce computational costs...