1. A method, comprising: training a machine learning model using a training set of data that comprises metrics regarding a plurality of nodes in a network and identifies which nodes of the plurality of nodes demonstrate abnormal link oscillations; receiving, at a device in the network, metrics regarding a particular node in the network; using, by the device, the metrics as input to the trained machine learning model; determining, using the trained machine learning model and based on the metrics, an indication of abnormality of the particular node oscillating between using a plurality of different routing parents in the network; providing, by the device, a results notification identifying the particular node as demonstrating abnormal link oscillations based on the indication of abnormality of the particular node oscillating between using the plurality of different routing parents; and based on the results notification, mitigating, by the device, abnormal link oscillations.