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Figure S1. Example of a decision tree, classifying an outcome of interest (1/2) based on the values of variables x, y and z.

Figure S2. Distribution of IgE values from the ISAC chip (ISU scale) by selecting all (left panels) and strictly positive (>0, right panel) values.

Figure S3. Performance of RF and LR models by varying the input IgE transformation function, specifically (from left to right): binary 0.3 ISU threshold (blue colour), column-wise quartile discretisation, matrix-wise quartile discretisation, square-root transform, raw values, supervised discretisation, matrix-wise standardisation, quantile normalisation, and manufacturer's semi-quantitative scale.

Figure S4. Correlation plots for allergen IgEs. Spearman rank-correlation was used, and the correlation matrix has been sorted to group highly-correlated allergen groups.

Figure S5. Hierarchical clustering of allergen IgEs. Manhattan (L1 norm) distance was used, aggregating instances progressively with the complete linkage method.

Figure S6. Thresholded adjacency graph of allergen IgE, based on Spearman's rank-correlation.

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