Descriptive model metrics.
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https://figshare.com/articles/dataset/Descriptive_model_metrics_/23285905
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The Binary Model columns display the number of samples (out of 96) that were measured below the LOD and the accuracy of the random forest in classifying samples above or below the LOD. Note than because TC was never measured below the LOD, no Binary Model was fit. The Concentration Model columns display the R2, root mean square error (RMSE) and Durbin-Watson statistic of the GLS models which predict log10-transformed FIB concentration of samples measured above the LOD. The Overall Model columns display the R2 and root mean square error (RMSE) of the hurdle models which predict log10-transformed FIB concentration of all samples.
创建时间：
2023-06-02
