
Metric

In Sample

Out Sample

95 % Confidence Interval


Metabolites

R^{2}

0.997

0.840

[ 0.335, 0.972 ]

Mean Absolute Error

0.228

2.503

[ 0.783, 4.060 ]

Mean Squared Error

0.2104

12.180

[ 0.964, 24.916 ]

Transcription factors

R^{2}

0.983

0.825

[ 0.565, 0.939 ]

Mean Absolute Error

0.897

2.658

[ 1.009, 4.950 ]

Mean Squared Error

1.239

13.315

[ 3.743, 29.804 ]

Integrated list

R^{2}

0.9965

0.909

[ 0.721, 0.986 ]

Mean Absolute Error

0.465

1.779

[ 0.487, 3.919 ]

Mean Squared Error

0.2639

6.927

[ 0.469, 18.832 ]

 Performances are reported in terms of the determination coefficient R^{2}, Mean Absolute Error (MAE) and Mean Squared Error (MSE, see text for more details on these metrics). The insample performances quantify the fitness of the predictive models on the training data, while the outofsample values estimate the expected performance on new data. Confidence intervals are calculated using a bootstrap approach