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.

@DataProfessor

3 жыл бұрын

Thanks for watching and for the comments 😃

Your code is so well organized and clean. Thank you very much!

Thank you, been struggling for a couple of days (after even using the sklearn library example) to understand ROC curve for data mining / machine learning class.

@DataProfessor

3 жыл бұрын

Awesome, hope it worked out.

Thank you! Very incredibly helpful, sir :)

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?

THANK YOU SO MUCH FOR THE HELP!

Great job! Thank you for making it simple.

@DataProfessor

4 жыл бұрын

A pleasure! Thanks for watching!

How to do that for molecular docking ligand enrichment study.. I have 2 csv files. One contains docking score of true inhibitors and another decoy inhibitors. Plz guide

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

@DataProfessor

4 жыл бұрын

Thanks Robin for watching, good luck in the internship 👍

Thank you for explaining and showing it!

@DataProfessor

3 жыл бұрын

A pleasure. Glad it was helpful!

Thank you for encouraging , tutorial is very good

Guys I found the threshold , its 0.8 for random forest now how do I make the necessary changes in my model?

Thank you so much!

How to create this type of chart in .CSV file in matplot library ? Is possible means share the link

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

@DataProfessor

4 жыл бұрын

Hi Ishmam, I've modified the Jupyter notebook described in the video tutorial to also include knn and it is available on the Data Professor GitHub at github.com/dataprofessor/code/blob/master/python/ROC_curve_kNN.ipynb

@ishmamhussainkhan1217

4 жыл бұрын

@@DataProfessor Sir i actually i did exactly like that and after that i got the error.I was actually reading data with pandas from a csv file.i also used label encoder to ensure there are no strings and still after that got the error.

Thank you so much😊😊😊😊

thankyou sooo much sir

Amazing! Thank You!

@DataProfessor

4 жыл бұрын

Walton, Thanks for the kind words!

Thanks for this informative video. Sir, I have a question. If I want to apply this code to display roc curve of ML models for five different class of sentiments, what should be included in this code? please reply as quickly as possible.

@DataProfessor

3 жыл бұрын

Thanks for watching, for different class labels, you can check out this code example and adapt for your project scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#plot-roc-curves-for-the-multilabel-problem

Thank you very much sir. Bless you

@DataProfessor

2 жыл бұрын

You are most welcome

can i plot roc curve from saved model ?

IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed --- I got this error while using for my code. plz tell the solution

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

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

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?

@DataProfessor

3 жыл бұрын

Yes, the Y needs to be qualitative/categorical labels for ROC to work.

Thanks thanks thanks. I love this chanel

@DataProfessor

3 жыл бұрын

Glad you enjoyed the contents here! Would greatly appreciate if you could spread the word, Thanks!

Thank you Sir

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?

@DataProfessor

4 жыл бұрын

Hi, please refer to this for coding example scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html?highlight=roc#plot-roc-curves-for-the-multilabel-problem

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

@DataProfessor

4 жыл бұрын

Wow, thanks for the kind wishes 😃

may god bless you. This video really saved me ^ _ ^

@DataProfessor

3 жыл бұрын

I'm so glad! Thanks for watching!

Good Evening sir, I just want to know how to adjust cut off / threshold of a logistic regression model. Thank you, So much sir.

@DataProfessor

3 жыл бұрын

Hi, I believe the answer you're looking for lies in this Stack Overflow post stackoverflow.com/questions/19984957/scikit-learn-predict-default-threshold?rq=1

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

@DataProfessor

4 жыл бұрын

Warawat, thanks for your comment. For the moment, I recommend the following 2 books. For the principles, I would recommend "The hundred-page machine learning book" themlbook.com/ For practice, I recommend the "Python Data Science Handbook" jakevdp.github.io/PythonDataScienceHandbook/

@shwetaredkar734

4 жыл бұрын

@@DataProfessor Thank you for suggesting the books.

Sir I am new to this field. I want to know the meaning of these codes. r_probs = [0 for _ in range(len(Y_test))] rf_probs = rf.predict_proba(X_test) nb_probs = nb.predict_proba(X_test) Is there any other way of writing this?

@pentagon3218

3 жыл бұрын

I want to know how to apply it in real dataset available out there in the internet. Thank you and sorry for my lack of knowledge.

how to plot false negative rate with false positive rate?

Thank You

@DataProfessor

3 жыл бұрын

You're welcome

can i plot ROC with confusion matrix only?

@DataProfessor

4 жыл бұрын

I would plot the ROC and show the confusion matrix as a table.

@prajwol_poudel

2 жыл бұрын

No, you'll need the probabilities your model assigns for the classes and the actual class to plot the roc curve.

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

@DataProfessor

4 жыл бұрын

Thanks Shweta for the suggestion. I will make a video shortly.

@DataProfessor

4 жыл бұрын

I’m working on making a Jupyter notebook of it, I’ll paste the link here when I’m finished

@shwetaredkar734

4 жыл бұрын

@@DataProfessor Okay. Thank you. Also, if possible please educate us on how to test an independent/external dataset on the trained model.

@DataProfessor

4 жыл бұрын

@@shwetaredkar734 Sure, I've previously made a video and drawn an infographic on the overview of machine learning model building. Explanation on the external set (test set) is also provided. kzread.info/dash/bejne/dIOfk8qlc7O9YMY.html

@DataProfessor

4 жыл бұрын

@@shwetaredkar734 Thanks for your comment. To apply the trained model to make prediction on the class label using clf.predict(X_test). Please see one of the recent video kzread.info/dash/bejne/iqGHzqiJdM2xlMY.html

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

@DataProfessor

4 жыл бұрын

Can you try setting probability=True

@HimaniChauhan

4 жыл бұрын

@@DataProfessor sir is svm doesn't support this function predict_proba and can I use dataset which I can read in python that is CSV file instead of synthetic dataset to generate roc curve

@HimaniChauhan

4 жыл бұрын

@@DataProfessor sir is svm doesn't support this function predict_proba and can I use dataset which I can read in python that is CSV file instead of synthetic dataset to generate roc curve

@DataProfessor

4 жыл бұрын

@@HimaniChauhan There is a workaround that may work. Can you have a look at this link: www.kaggle.com/c/home-credit-default-risk/discussion/63499

@DataProfessor

4 жыл бұрын

@@HimaniChauhan To use CSV file instead of synthetic dataset, you can read it in using: import pandas as pd df = pd.read_csv("data.csv") X = df.iloc[:,:-1] Y = df.iloc[:,-1] You can then use X and Y as your input argument for model building

I LOVE YOU

Nice video

@DataProfessor

3 жыл бұрын

Thank you 😊

How to plot a ROC curve using qPCR data?

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

@DataProfessor

4 жыл бұрын

Yes you can, check out the pythonmeta library (pip install PythonMeta) which allows you to make forest plot You can also try making one using their web demo pymeta.com/

Are you dutch?