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Questions - roc

How to get the ROC curve of a neural network?

I'm trying to get the ROC curve for my Neural Network. My network uses pytorch and im using sklearn to get the ROC curve. My model outputs the binary right and wrong and also the probability of the ou...
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Samuel Fipps

python

scikit-learn

neural-network

pytorch

roc

Votes: 0

Answers: 1

Latest Answer

Function roc_curve expects array with true labels y_true and array with probabilities for positive class y_score (which usually means class 1). Therefore what you need is not _, pred = torch.max(outpu...
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draw

How to combine several roc curves in one graph in R?

I draw 4 roc curves for 4 models, and want to put them together in one graph so that I can compare. library(pROC) lr.probs <- predict(lr_model, newdata=test1, type='response') lr.plot <- plot...
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SquirtleBig

r

plot

roc

proc-r-package

Votes: 0

Answers: 1

Latest Answer

You can either use the plot function with the add=TRUE argument: lr.plot <- plot(roc(test1$Y,lr.probs)) gbm.plot <-plot(roc(test1$Y,gbm.probs\[,2\]), add=TRUE, col="red") rf.plot &...
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Calimo

How to combine two ROC curves into one graph?

I am trying to plot two ROC curves into the same graph to compare the two visually. I used the pROC package, but can't figure out how to combine the plots. This is the code I used to calculate and plo...
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Shnetti

r

plot

graph

roc

Votes: 0

Answers: 1

Latest Answer

You can add the add=TRUE argument as mentioned in the comments. However, a better idea is to build and plot the ROC curves separately: # First build the ROC curves roc_1 <- pROC::roc(data = df, res...
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Calimo

changing null hypothesis value for sample size calculation of a single AUC

I am trying to get the sample size for a single AUC using power.roc.test in the pROC package. For example, the expected AUC is 0.97 (alternative hypothesis) and the value I am comparing to is 0.95 (nu...
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slee

r

roc

auc

sample-size

Votes: 0

Answers: 2

Latest Answer

I have the exact same question. It is possible to compute a sample size using with two roc objects with power.roc.test(), e.g. power.roc.test(roc1, roc2, power = 0.8) although I want to compute a sam...
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Wombat

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