sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)¶. Compute Area Under the Curve (AUC) from prediction scores. Note: this implementation is restricted to the binary classification task or multilabel classification task in label indicator format. Read more in the User Guide.
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
In this figure, the blue area corresponds to the Area Under the curve of the Receiver Operating Characteristic (AUROC). The dashed line in the diagonal we present the ROC curve of a random predictor: it has an AUROC of 0.5. The random predictor is commonly used as a baseline to see whether the model is useful.
https://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it
From a random classifier you can expect as many true positives as false positives. That’s the dashed line on the plot. AUC score for the case is 0.5. A score for a perfect classifier would be 1. Most often you get something in between.
http://fastml.com/what-you-wanted-to-know-about-auc/
What you wanted to know about AUC. AUC, or Area Under Curve, is a metric for binary classification. It’s probably the second most popular one, after accuracy. Unfortunately, it’s nowhere near as intuitive. That is, until you have read this article. Accuracy deals with ones and zeros, meaning you either got the class label right or you didn’t.
http://fastml.com/what-you-wanted-to-know-about-auc/
Current MCAT version: 496. Previous MCAT version: 25. Note: AUC accepts students whose MCAT scores are above or below the ranges above, and take many characteristics into account when assessing an applicant's candidacy. The MCAT exam is an important rite of passage on your journey to medical school.
http://www.aucmed.edu/admissions/mcat-exam.aspx
4) Check that you have fulfilled all the University’s language requirements, as demonstrated by your TOEFL/IELTS scores. 1  Results of the TOEFL/IELTS exams may be sent directly to the admissions office. AUC’s code number is 0903. Both tests should be completed no more than two years prior to the first day of the term for which you are applying for admission. English placement depends on your English test scores.
http://www.aucegypt.edu/admissions/undergraduate/how-apply
the AUC of a classifier is equal to the probability that the classifier will rank a randomly chosen positive example higher than a randomly chosen negative example, i.e. $P\Big(\text{score}(x^+) > \text{score}(x^-)\Big)$.
https://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it
sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)¶. Note: this implementation is restricted to the binary classification task or multilabel classification task in label indicator format.
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
AUC stands for area under the curve and is not limited to ROC curves (though that is its most common use). I have seen the abbreviation AUC being used in the context of precision-recall and even glucose tolerance curves (in medicine). – Marc Claesen Jan 9 '15 at 12:12.
https://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it
The minimum admission scores for each certificate may change from one semester to another according to the AUC requirements. 1  thanawiya amma. ​ 2 German Abitur. 3  IGCSE/GCSE/GCE British Certificate.  International 1  Baccalaureate. French Baccalaureate.  American High School 1  Diploma. Canadian Certificates.  Other certificates.
http://www.aucegypt.edu/admissions/undergraduate/how-apply
what is an auc score
An AUC Score is a metric for binary classification.