query: AUC ROC Threshold Setting in heavy imbalance
positive_passages.docid: 3980
positive_passages.text: Reduce Classification Probability Threshold
negative_passages.docid: 77590
negative_passages.text: Highly unbalanced test data set and balanced training data in classification
negative_passages.docid: 94048
negative_passages.text: ROC vs Precision-recall curves on imbalanced dataset
negative_passages.docid: 72632
negative_passages.text: Changing threshold in logistic regression
negative_passages.docid: 109407
negative_passages.text: ROC curve and confusion matrix in classifier performance evaluation
negative_passages.docid: 145064
negative_passages.text: Techniques to detect overfitting
negative_passages.docid: 12090
negative_passages.text: On Negative AIC Values
negative_passages.docid: 75304
negative_passages.text: Determine how good an AUC is (Area under the Curve of ROC)
negative_passages.docid: 32497
negative_passages.text: Why isn't the ROC curve naturally plotted in 3D?
negative_passages.docid: 36088
negative_passages.text: Class imbalance in Supervised Machine Learning
negative_passages.docid: 91186
negative_passages.text: Interpretation of AIC value
negative_passages.docid: 89791
negative_passages.text: Correlated features produce strange weights in Logistic Regression
negative_passages.docid: 4337
negative_passages.text: What balancing method can I apply to an imbalanced data set?
negative_passages.docid: 155013
negative_passages.text: How to validate k-fold cross validation results for classifiers?
negative_passages.docid: 66215
negative_passages.text: Training a decision tree against unbalanced data
negative_passages.docid: 1265
negative_passages.text: Is my model any good, based on the diagnostic metric ($R^2$/ AUC/ accuracy/ RMSE etc.) value?
negative_passages.docid: 157675
negative_passages.text: Prediction interval on untransformed scale