Machine learning-based bad cable detection

A networking method comprising:

• determining a first class of a first cable associated with one of a plurality of network interfaces;
• selecting, based on the first class of the first cable, a first machine learning model of a plurality of machine learning models;
• determining, based on the first class of the first cable and the one of the plurality of network interfaces, a first feature set of performance data;
• executing the first machine learning model to infer, based on the first feature set, a potential bad cable issue associated with the first cable;
• outputting, based on the inference of the potential bad cable issue associated with the first cable, a command to automatically reroute traffic to avoid transporting traffic over the first cable;
• automatically determining that a new network interface is being monitored by a network management system, wherein the performance data is further associated with the new network interface;
• determining a class of a new cable associated with the new network interface;
• selecting, based on the class of the new cable, a second machine learning model of the plurality of machine learning models;
• determining, based on the class of the new cable and the new network interface, a second feature set of the performance data;
• executing the second machine learning model to infer, based on the second feature set, a new potential bad cable issue associated with the new cable;
• and
• outputting an indication of the new potential bad cable issue associated with the new cable.

Non-transitory computer-readable storage media comprising instructions that, when executed by a network management system that manages a network, cause one or more processors of the network management system to:

• determine a first class of a first cable associated with one of a plurality of network interfaces;
• select, based on the first class of the first cable, a first machine learning model of a plurality of machine learning models;
• determine, based on the first class of the first cable and the one of the plurality of network interfaces, a first feature set of performance data;
• execute the first machine learning model to infer, based on the first feature set, a potential bad cable issue associated with the first cable;
• output, based on the inference of the potential bad cable issue associated with the first cable, a command to automatically reroute traffic to avoid transporting traffic over the first cable;
• automatically determine that a new network interface is being monitored by the network management system, wherein the performance data is further associated with the new network interface;
• determine a class of a new cable associated with the new network interface;
• select, based on the class of the new cable, a second machine learning model of the plurality of machine learning models;
• determine, based on the class of the new cable and the new network interface, a second feature set of the performance data;
• execute the second machine learning model to infer, based on the second feature set, a new potential bad cable issue associated with the new cable;
• and
• output an indication of the new potential bad cable issue associated with the new cable.