Fig. 3: Artificial Neural Net (ANN) training set and predictor importance.
From: Space-based observations of tropospheric ethane map emissions from fossil fuel extraction
Panel (a) displays predicted vs true ethane columns for the full training set, shown as the mean (red dots) and standard deviation (blue error bars) across the 10 individual ANNs. Panel (b) displays the relative importance of selected individual predictors via their impact on the overall 10-ANN root-mean-square error (RMSE). ‘All Predictors’ shows the RMSE when including all predictors; other results show the RMSE when the designated predictor is omitted. A version of this figure including all predictors is included in the supplement (Supplementary Fig. 2).
