ROC (Receiver Operating Characteristic) curve is a graphical plot comparing the true positive and false positive rates of a classifier as its discrimination threshold is varied.
I am trying to plot a ROC curve to evaluate the accuracy of a prediction model I developed in Python …
python matplotlib plot statistics rocI'm trying to plot a ROC curve using seaborn (python). With matplotlib I simply use the function plot: plt.plot(…
python matplotlib plot seaborn rocCan someone explain me please how to plot a ROC curve with ROCR. I know that I should first run: …
r rocI am performing logistic regression using this page. My code is as below. mydata <- read.csv("http://www.…
r regression roc confusion-matrixI'm doing different text classification experiments. Now I need to calculate the AUC-ROC for each task. For the binary classifications, …
python scikit-learn text-classification roc multiclass-classificationI ran a logistic regression model and made predictions of the logit values. I used this to get the points …
python logistic-regression rocIs it possible to plot the roc curve for diffrent classifiers in the same plot using the ROCR package? I've …
r plot rocI have used caret package's train function with 10-fold cross validation. I also have got class probabilities for predicted classes …
r random-forest r-caret rocUsing the R package caret, how can I generate a ROC curve based on the cross-validation results of the train() …
r r-caret rocI have some models, using ROCR package on a vector of the predicted class percentages, I have a performance object. …
r roc