# Questions tagged [roc]

Receiver Operating Characteristic, also known as the ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system at different thresholds

919 questions
Filter by
Sorted by
Tagged with
111 views

### Why would pROC::roc calculate $\max\{AUC, 1 - AUC\}$ by default?

There is some interesting behavior in the pROC::roc function in R. ...
• 65.1k
1 vote
89 views

### AUC > 0.5 under null model following feature selection

I've been going over the output of a Monte Carlo model that simulates disease risk as a function of genotype. Under a null model of no disease risk, we have 1000 case and 1000 control individuals. ...
• 133
13 views

### (How) can ROC/AUC analysis be adapted to problems with two (or more) thresholds?

(How) can ROC/AUC analysis be adapted to problems with two (or more) thresholds? Example 1: We measure variable $x$, assign label $1$, if it falls into interval $[a, b]$, and label $0$ otherwise. We ...
• 4,439
14 views

### Wanting to create a cut-off point for measurement (Length by width) at which an adverse outcome occurs

I am working on a project investigating dimensions of tears in shoulders and how it affects retear rate after an operation. From the literature, age, and tear size (Dimensions AP [width], ML [length], ...
7 views

### How to draw a ROC curve given estimated probability that a unit is positive and actual observed class? [duplicate]

Assume that a classification model fitted to data available to you has provided for each statistical unit a probability $P(+|x)$ that the unit is positive. The following table shows all available ...
135 views

### Using Predictive Value Confidence Intervals to "Predict" Outcomes

Here's the quick version: Say I have a confusion matrix with the following data based on a proficiency cut score on a pretest and outcomes on (passing/failing) a class. The cut score was determined ...
84 views

• 65.1k
97 views

### how to derive standard error for ROC and how to compare 2 ROC area under curve meta-analytic estimates in R using metamisc (Bayesian random effects)

I am trying to do a meta-analysis to pool many ROC curves together and get an estimate of cumulative AUC using 2 different ...
990 views

### C-statistic vs AUC [closed]

I am analysing diagnostic accuracy. I have a dataset with a ground truth and 3 predictors. Ground truth = binary (0/1) Predictor 1-2 = binary (0/1) Predictor 3 = continuous (0-100) I have 50,000 ...
• 139
15 views

### How does cumulative dynamic AUROC differ from traditional, binary-classification AUROC?

My goal is to predict components that are going to fail the soonest in order to replace them. To date, we've deployed a binary classification model, with the positive class representing a component's ...
• 646
281 views

### Power/sample size estimation when comparing two AUCs (area under the curve)?

Are there any R functions (or other free software) for calculating power/sample size needed to compare 2 AUCs (area under the curve)? Specifically, suppose you want to fit 2 different models to a ...
• 21
917 views

### For a confusion matrix, is there a name for FP / (FP + FN)?

For a confusion matrix, there are a variety of useful rates, ratios and indices. But I cannot find the one I care about: FP / (FP + FN) Of course this measure is ...