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. 2021 May 15;260:117766. doi: 10.1016/j.carbpol.2021.117766

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© 2021 The Author(s)

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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Fig. 2 — Results of Validating the Model using the combined data sets. (a) Confusion bar plots for the first layer of the Random Forest Model. (b) Distribution of variable importance of the first layer of the model. (c) Confusion bar plots for the second layer of the Random Forest Model. (d) Distribution of variable importance of the second layer of the model. Variable names are follows: amylose content (AC), gelatinization temperature (GT), gel consistency (GC), peak viscosity (PV), trough viscosity (TV), breakdown viscosity (BD), final viscosity (FV), setback viscosity (SB), peak time (PkT), pasting temperature (PsT) and lift-off viscosity (LO), AM1 (Amylose 1), AM2 (Long-chain Amylopectin), MCAP (Medium-chain Amylopectin), SCAP1(Short-chain amylopectin, 36 > DP > 21), SCAP2(Short-chain amylopectin, 20 > DP > 13), SCAP3(Short-chain amylopectin, 12 > DP > 6).