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@@ -66,10 +66,10 @@ The possible events that can be classified are shown in [encoder-main.json](http
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  ### Data
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- The model was trained on log data sourced from various network and infrastructure devices,
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- capturing crucial system events and performance metrics. Syslogs originated from network routers,
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- switches, firewalls, and servers, providing a rich dataset of operational insights including security events,
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- traffic patterns, and hardware health statuses.
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  ### Train/Test Split
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  ### Data
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+ The model was trained on a variety of network events and system logs, focusing on monitoring and analyzing state changes,
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+ protocol behaviors, and hardware interactions across infrastructure components. This included tracking routing issues,
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+ protocol neighbor state changes, link stability, and security events, ensuring that the model could recognize and
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+ classify critical patterns in device communications, network health, and configuration activities.
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  ### Train/Test Split
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