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Evaluation of RF and glmnet algorithms using different training sets against test sets of organisms from the same concentration of EE2.
| Instance | Area Under ROC Curve (AUC) | Brier score |
|---|---|---|
| randomForest; train on 10.0 ng EE2 | 1 | 5.95E-03 |
| randomForest; train on 2.5 ng EE2 | 1 | 1.52E-02 |
| randomForest; train on 2.5/10 ng EE2 combo | 1 | 4.17E-03 |
| glmnet; train on 10.0 ng EE2 | 1 | 4.33E-06 |
| glmnet; train on 2.5 ng EE2 | 1 | 1.42E-02 |
| glmnet; train on 2.5/10 ng EE2 combo | 0.93 | 1.98E-01 |
