20 questions linked to/from Understanding ROC curve
336k views

What does AUC stand for and what is it?

Searched high and low and have not been able to find out what AUC, as in related to prediction, stands for or means.
111k views

How to calculate Area Under the Curve (AUC), or the c-statistic, by hand

I am interested in calculating area under the curve (AUC), or the c-statistic, by hand for a binary logistic regression model. For example, in the validation dataset, I have the true value for the ...
52k views

How to interpret a ROC curve?

I applied logistic regression to my data on SAS and here are the ROC curve and classification table. I am comfortable with the figures in the classification table, but not exactly sure what the roc ...
28k views

How we can draw an ROC curve for decision trees?

Normally we cannot draw an ROC curve for the discrete classifiers like decision trees. Am I right? Is there any way to draw an ROC curve for Dtrees?
11k views

Calculate ROC curve for data

So, I have 16 trials in which I am trying to authenticate a person from a biometric trait using Hamming Distance. My threshold is set to 3.5. My data is below and only trial 1 is a True Positive: <...
11k views

How to create ROC curve to assess the performance of regression models?

I knew that, ROC curve are use to assess the performance of classifiers. But is it possible to generate ROC curve for the regression model? If yes, How?
841 views

How to draw the ROC curve?

Currently I'm asking me how to draw the ROC curve (Receiver Operating Characteristic curve). On the x-axis there is the false positive rate (1-specificity) and on the y-axis there is the true positive ...
31 views

SVM: achieving ROC curve by varying misclassification costs

Assume that we have SVM model for binary classification with objective function as follows:  min(\frac{1}{2}\omega\cdot\omega +C^{+}\sum_{i|y_{i}=+1}^{n}\xi_{i}\quad+C^{-}\sum_{i|y_{i}=-1}^{n}\xi_{i}...
71 views

How to calculate the prediction score of a classificator?

I want to compare a given classification algorithm with others via the Area under the (ROC-)curve metric. Unfortunately this algorithm only outputs the values of the respective confusion matrix (TP, ...
2k views

How is an ROC curve constructed for a set of data?

I know that sensitivity and recall (and precision, and ...
9k views

varying classification threshold to produce ROC curves.

How can I vary classification threshold to produce ROC curves. I am new to R and I wanted to classify in different algorithm. Since the accuracy of ROC plot is high I wanted to change the threshold ...
509 views

Determining the validity of ROC curves

ROC curves were generated using ROCR package using only actual and predicted labels(from a SVM) as input. Script: ...
2k views

How do you use a ROC curve to optimize a random forest classifier? [duplicate]

I am using a random forest for a binary classification problem using sklearn. The sklearn implementation outputs both a predicted class, and a probability for each class. The sklearn implementation ...