A Stacking Ensemble ML-Based Failure Prediction Model for Optical Networks with Imbalanced Data

A stacking ensemble ML-based failure prediction model for optical networks with imbalanced data is proposed. Under the condition that the failure sample ratio is 5.3%, our model obtains 98.97% F1 score.