How to Plot an ROC Curve in Python | Machine Learning in Python




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In this video, I will show you how to plot the Receiver Operating Characteristic (ROC) curve in Python using the scikit-learn package. I will also you how to calculate the area under an ROC (AUROC) curve. In the tutorial, we will be comparing 2 classifiers via the ROC curve and the AUROC values.

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Comment List

  • Data Professor
    January 17, 2021

    my god, thank u so much! been looking around for an easy ROC tutorial and this is the one!

    props to you! 🙂

  • Data Professor
    January 17, 2021

    how to plot false negative rate with false positive rate?

  • Data Professor
    January 17, 2021

    How to plot a ROC curve using qPCR data?

  • Data Professor
    January 17, 2021

    thank you for the video.
    I got this error while plotting:
    ValueError: multi_class must be in ('ovo', 'ovr').

    What can I do. And is roc is only valid for data with 2 class labels?

  • Data Professor
    January 17, 2021

    Thank you for explaining and showing it!

  • Data Professor
    January 17, 2021

    Really clean code. I read it and understood immediately all of it. I was only bothered by the X,Y instead of the more conventional X,y.

  • Data Professor
    January 17, 2021

    Nice video

  • Data Professor
    January 17, 2021

    Thank You

  • Data Professor
    January 17, 2021

    Sir,
    I am trying to run a code of iris recognition, but I get an error in the classification part of iris in roc_curve I,e " value error: multilable- indicators format not supported"

    I have the link of code below
    https://github.com/OmarMedhat22/Iris-Recognition-CASIA-Iris-Thousand/blob/master/iris_classification_2.ipynb

  • Data Professor
    January 17, 2021

    Hey , Very informitive and helping video. I have one doubt though, does the Y attribute for KNN classification need to be binary in order to plot in roc curve?

  • Data Professor
    January 17, 2021

    Ua fratè fai tutt o mast t fai chiammà Data Professor e po tien a zeppla mmocc, m par prop o frat ro cazz!!!!!

  • Data Professor
    January 17, 2021

    I got an error
    ValueError: could not convert string to float: 'data'
    How can you help?

  • Data Professor
    January 17, 2021

    can i plot roc curve from saved model ?

  • Data Professor
    January 17, 2021

    Can we make a forest plot???????????

  • Data Professor
    January 17, 2021

    There's only 6 thresholds from roc_curve function, how can I add more?

  • Data Professor
    January 17, 2021

    Watching this trying to get through my internship because they expect us to know all this stuff I guess lol. Thanks brah.

  • Data Professor
    January 17, 2021

    Awesome content. I wish you get a million subscribers within 1 year

  • Data Professor
    January 17, 2021

    can i plot ROC with confusion matrix only?

  • Data Professor
    January 17, 2021

    Great job! Thank you for making it simple.

  • Data Professor
    January 17, 2021

    I want to ask you a favor. can you explain how to plot ROC curve using Image Generator(flow from directory) in classification multi classes?

  • Data Professor
    January 17, 2021

    Amazing! Thank You!

  • Data Professor
    January 17, 2021

    Sir with help of this i can predict knn auc score but after that when i write
    r_fpr, r_tpr, _ = roc_curve(y_test, r_probs)
    the above code shows error "y_true takes value in {'Abnormal', 'Normal'} and pos_label is not specified: either make y_true take value in {0, 1} or {-1, 1} or pass pos_label explicitly"
    how do i solve it

  • Data Professor
    January 17, 2021

    what to do if predict_proba is not available when probability=false

  • Data Professor
    January 17, 2021

    Could you please show the same example using 10 fold-cv instead of train test split. Thanks

  • Data Professor
    January 17, 2021

    Thanks you for video. Could your please suggest a book or video about machine leaning to learn?

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