Fig. 3From: Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based frameworkThe architecture of deep ensemble method includes four steps: (a)pre-processing data is sent to four (b)base methods; then after normalization, the (c)ensemble of their outputs forms a score matrix; we finally input the score matrix into an (d)MLP for trainingBack to article page