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Receiver operating characteristic (ROC) analysis is a method for evaluating successful discrimination. The machine learning model (SVM) predicts chemicals that were not in the training data. Predictions for these new chemicals are then compared to the ground truth. Success is defined by high positive (sensitivity) and low false-positive (1 − specificity) rates. Subsequently, an ROC plot shows the relationship between these two rates. The best possible performance is an area under the curve (AUC) of 1.0.

Li Europan lingues es membres del sam familie. Lor separat existentie es un myth. Por scientie, musica, sport etc, litot Europa usa li sam vocabular. Li lingues differe solmen in li grammatica, li pronunciation e li plu commun vocabules. Omnicos directe al desirabilite de un nov lingua franca: On refusa continuar payar custosi traductores. At solmen va esser necessi far uniform grammatica, pronunciation e plu sommun paroles.