How to interpret almost perfect accuracy and AUC-ROC but zero f1 …
This is why I stopped using 'roc_auc' as a scoring function for my optimizers and resorted to 'f_1' (yes, my datasets are often imbalanced). But currently i'm thinking of custom scorer which is a mix of …
Reason of having high AUC and low accuracy in a balanced dataset
Jul 15, 2016 · The ROC curve is biased towards the positive class. The described situation with high AUC and low accuracy can occur when your classifier achieves the good performance on the …
python - Manually calculate AUC - Stack Overflow
Jun 14, 2018 · The ROC curve is created by plotting the True Positive Pate (TPR) against the False Positive Rate (FPR) at various threshold settings. As an example: The model performance is …
matplotlib - How to plot ROC curve in Python - Stack Overflow
129 I am trying to plot a ROC curve to evaluate the accuracy of a prediction model I developed in Python using logistic regression packages. I have computed the true positive rate as well as the false …
machine learning - Calculate AUC in R? - Stack Overflow
Feb 5, 2011 · As mentioned by others, you can compute the AUC using the ROCR package. With the ROCR package you can also plot the ROC curve, lift curve and other model selection measures. You …
machine learning - F1 Score vs ROC AUC - Stack Overflow
May 25, 2017 · AUROC vs F1 Score (Conclusion) In general, the ROC is for many different levels of thresholds and thus it has many F score values. F1 score is applicable for any particular point on the …
Which is the correct way to calculate AUC with scikit-learn?
Feb 27, 2021 · @Shijith I manually add roc_auc_score as a label instead of an automatic legend to show the difference. Could you elaborate on that, please? – David Ws.
python - ROC for multiclass classification - Stack Overflow
Jul 26, 2017 · I'm doing different text classification experiments. Now I need to calculate the AUC-ROC for each task. For the binary classifications, I already made it work with this code: scaler = …
Getting a low ROC AUC score but a high accuracy
Nov 4, 2017 · Getting a low ROC AUC score but a high accuracy Asked 8 years, 1 month ago Modified 5 years, 9 months ago Viewed 29k times
Roc curve and cut off point. Python - Stack Overflow
Feb 25, 2015 · from sklearn import metrics fpr, tpr, thresholds = metrics.roc_curve(Y_test,p) I know metrics.roc_auc_score gives the area under the ROC curve. Can anyone tell me what command will …