Figure 6:
Eastwood framework's (Eastwood & Williams, 2018) disentanglement metric with Lasso and random forest (RF) regressor. The plot shows mean and 1 standard deviation of scores over 10 iterations. For disentanglement and completeness, a higher score is better; for informativeness, lower is better. “Info.” indicates (average) root-mean-square error in predicting z.

Eastwood framework's (Eastwood & Williams, 2018) disentanglement metric with Lasso and random forest (RF) regressor. The plot shows mean and 1 standard deviation of scores over 10 iterations. For disentanglement and completeness, a higher score is better; for informativeness, lower is better. “Info.” indicates (average) root-mean-square error in predicting z⁠.

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