Cellular link failures cause poor user experience perceived as call drop or slowness/stall in data transfers. In this paper, we investigate a variety of supervised models that can predict link loss events. Based on this, the device could take proactive actions to avoid the link loss and improve the user experience in a seamless way. Features are chosen to represent wireless link performance and are averaged to mitigate temporal variations. We also introduce methods to improve precision while trading off with recall.