Machine learning-based bad cable detection

Abstract

Example systems, devices, and techniques are described for inferring a potential bad cable issue associated with a cable. An example system includes processing circuitry configured to determine a class of a cable associated with one of a plurality of network interfaces. The processing circuitry is configured to select, based on the class of the cable, a first machine learning model of a plurality of machine learning models. The processing circuitry is configured to determine, based on the class of the cable and the one of the plurality of network interfaces, a first feature set of the performance data. The processing circuitry is configured to execute the first machine learning model to infer, based on the first feature set, a potential bad cable issue associated with the cable and output an indication of the potential bad cable issue associated with the cable.