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diff --git a/examples/README.md b/examples/README.md index 4a5b9b339..b378f26ae 100644 --- a/examples/README.md +++ b/examples/README.md @@ -42,6 +42,13 @@ Prints prettyfied information about flow events. Use sklearn together with CSVs created with **c-analysed** to train and predict DPI detections. +Try it with: `./examples/py-machine-learning/sklearn-ml.py --csv ./ndpi-analysed.csv --proto-class tls.youtube --proto-class tls.github --proto-class tls.spotify --proto-class tls.facebook --proto-class tls.instagram --proto-class tls.doh_dot --proto-class quic --proto-class icmp` + +This way you should get 9 different classification classes. +You may notice that some classes e.g. TLS protocol classifications may have a higher false-negative rate. + +Unfortunately, I can not provide any datasets due to some privacy concerns. + ## py-flow-dashboard A realtime web based graph using Plotly/Dash. |