query: Area under the ROC curve accuracy
positive_passages.docid: 144118
positive_passages.text: Area under curve of ROC vs. overall accuracy
negative_passages.docid: 105377
negative_passages.text: Feature selection with Random Forests
negative_passages.docid: 158402
negative_passages.text: Neyman-Pearson lemma: critical region and hypothesis testing
negative_passages.docid: 75304
negative_passages.text: Determine how good an AUC is (Area under the Curve of ROC)
negative_passages.docid: 113178
negative_passages.text: How is the optimal probability cut-off in a ROC defined by the R package Epi?
negative_passages.docid: 138454
negative_passages.text: Determining sample size for ML algorithm validation
negative_passages.docid: 102744
negative_passages.text: Evaluating models by Loglogss, AUC, and Accuracy
negative_passages.docid: 32548
negative_passages.text: On the importance of the i.i.d. assumption in statistical learning
negative_passages.docid: 66661
negative_passages.text: Assessing approximate distribution of data based on a histogram
negative_passages.docid: 135987
negative_passages.text: Better accuracy with validation set than test set
negative_passages.docid: 156676
negative_passages.text: How to compare features and classifiers which achieve perfect accuracy?
negative_passages.docid: 157675
negative_passages.text: Prediction interval on untransformed scale
negative_passages.docid: 77815
negative_passages.text: Machine Learning with intended missing values
negative_passages.docid: 70886
negative_passages.text: Hypothesis testing with the geometric distribution for dummies
negative_passages.docid: 64028
negative_passages.text: Finding a gaussian function fit
negative_passages.docid: 125679
negative_passages.text: Weighted Root Mean Square Error
negative_passages.docid: 154012
negative_passages.text: A simple curve of positive area