Zainab Ashimiyu-Abdusalam

> Hi @Zainab-ik ! > > Thanks for your work! I'd say the model hasn't had enough training time since the AUC is not great, you can try to see...

> Hi @Zainab-ik ! > > Thanks for your work! I'd say the model hasn't had enough training time since the AUC is not great, you can try to see...

@GemmaTuron, I'd like to ask, I realized some models trained on imbalanced target variable tends to have a high AUROC value, could it be that the value is not largely...

> Hi @Zainab-ik ! > > Thanks for your work! I'd say the model hasn't had enough training time since the AUC is not great, you can try to see...

> In general, when we are predicting probabilities with the classifier ( as in the case of the Morgan Binary Classifier), and we need class labels, there are two intuitions,...

> @Zainab-ik why the need to attach a training time isn't that limiting the model? From my understanding, I don't think so, it gives the model a long time to...

> @Zainab-ik I read that F1 score is a good metric to measure the performance of a model on an imbalanced dataset, you can try it out. Thank you @EstherIdabor,...

> > @Zainab-ik why the need to attach a training time isn't that limiting the model? > > Hi Zainab with your comment here, I decided to increase the training...

#389 I got this error and try the temporal fixing but it didn't work.

> ### Conclusion > Training a good AI/ML model will involve trying to achieve balance between Precision and Recall, a good model should be able to classify your data accurately....