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Fig. 7 | AI Perspectives

Fig. 7

From: CLeaR: An adaptive continual learning framework for regression tasks

Fig. 7

The parallel coordinates plot illustrates correlations between the frameworks’ hyperparameters (novelty buffer size and threshold factor) and the evaluation metrics (fitting error, prediction error, and forgetting ratio) based on 1120 results obtained in experiment 1. 56 pairs of hyperparameters are repeated 20 times. The best fitting error and the best prediction error of the baseline model in 20 repeated experiments are -4.82 and -6.58

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