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. Author manuscript; available in PMC: 2019 Aug 9.
Published in final edited form as: Phys Rep. 2019 Mar 14;810:1–124. doi: 10.1016/j.physrep.2019.03.001

FIG. 29. Bagging applied to the perceptron learning algorithm (PLA).

FIG. 29

Training data size n = 500, number of bootstrap datasets B = 25, each contains 50 points. Colors corresponds to different classes while the marker indicates how these points are labelled: cross for true label and circle for that obtained by bagging. Each gray dashed line indicates the prediction made, based on every bootstrap set while the dark dashed black line is the average of these.