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Feature ranking to predict UEFM change.

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posted on 19.10.2018, 17:30 authored by Yazan Abdel Majeed, Saria S. Awadalla, James L. Patton

Red diamonds mark the proportion of times during cross-validation where each feature was selected, with the red horizontal axis on top showing the range. The effect of removing each feature on the adjusted coefficient of determination R2 is shown in blue, each dot represents a single cross-validation run. Blue boxes show the lower quartile, median, and upper quartile of the R2 for each feature. The bottom horizontal axis measures the change in this R2 with respect to the median R2 of the full model, which is represented by the vertical blue line. The full model is shown at the top for comparison. None of the features stood out as clearly redundant or clearly essential for the model. Pairwise correlations of each feature with the outcome are shown in magenta to the left of each row.

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