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. 2022 Feb 24;12:3140. doi: 10.1038/s41598-022-07176-6

Table 4.

Accuracy of the Random Forest models.

Time microbiota Time zBMI Accuracy measure Median P-value Q-value
1 m 1 m OOB 0.850 0.363 0.667
1 m 1 m Pearson 0.000 0.544 0.667
1 m 3 m OOB 0.937 0.477 0.667
1 m 3 m Pearson 0.018 0.540 0.667
3 m 3 m OOB 0.967 0.780 0.821
3 m 3 m Pearson −0.100 0.775 0.821
3 m 4 m OOB 0.897 0.889 0.889
3 m 4 m Pearson 0.135 0.228 0.570
4 m 4 m OOB 0.857 0.019 0.190
4 m 4 m Pearson 0.249 0.053 0.212
4 m 2y OOB 0.950 0.315 0.667
4 m 2y Pearson 0.160 0.183 0.523
6y 6y OOB 0.790 0.554 0.667
6y 6y Pearson 0.047 0.432 0.667
6y 7y OOB 1.140 0.567 0.667
6y 7y Pearson 0.011 0.533 0.667
10y 10y OOB 0.783 0.044 0.212
10y 10y Pearson 0.258 0.088 0.293
10y 12y OOB 1.131 0.019 0.190
10y 12y Pearson 0.322 0.032 0.212

OOB = Out of Bag error of the Random Forest models. Median = Median accuracy score (either OOB or Pearson) from the 10 times repeated fourfold crossvalidation procedure. Models that reached p < .05 for either Pearson or OOB are printed in bold.