The area under the ROC curve can be thought of as a single scalar representation of the ROC curve itself.
Given a vector of scores and a vector of actual class labels, how do you calculate a single-number AUC metric …
r machine-learning data-mining aucI am using an rpart classifier in R. The question is - I would want to test the trained classifier …
r classification auc precision-recallI am doing a k-fold XV on an existing dataframe, and I need to get the AUC score. The problem …
python scikit-learn aucI have the below F1 and AUC scores for 2 different cases Model 1: Precision: 85.11 Recall: 99.04 F1: 91.55 AUC: 69.94 Model 2: Precision: 85.1 Recall: 98.73 F1: 91.41 …
machine-learning auc precision-recallI have fitted a SVM model and created the ROC curve with ROCR package. How can I compute the Area …
r machine-learning roc aucI'm trying to compute the AUC score for a multiclass problem using the sklearn's roc_auc_score() function. I have …
python machine-learning scikit-learn aucI've built a binary classifier using Tensorflow and now I would like to evaluate the classifier using AUC and accuracy. …
tensorflow python-3.5 roc aucI am aware of the concept of Precision as well as the concept of Recall. But I am finding it …
machine-learning classification auc precision-recall model-comparisonI am trying to find ROC curve and AUROC curve for decision tree. My code was something like clf.fit(…
python scikit-learn data-science auc