PAKDD2020 Alibaba AI Ops Competition: An SPE-LightGBM Approach

This paper describes our submission to the PAKDD2020 Alibaba AI Ops Competition. We regard the hard driver disk failure prediction problem as a binary classification problem. Our approach is based on self-paced ensemble (SPE) [9] and a light gradient boosting machine (LightGBM) [8]. With three types of feature (raw feature, window-based feature and combined raw feature) and our proposed training sample selection strategy, our approach achieved rank 14 in the final standings with F-score (defined in [1]) of 0.37. The code for our approach can be found in https://github.com/fengyang95/Alibaba_AI_Ops_Competition_Rank14 .