Compare Machine Learning Classifiers in Python

[@bhavishalala6964]

Thank you for all the names of the different types of classification models!

[@dawg7562]

Great video, don’t stop making these

[@DataProfessor]

Thanks Adhith for the encouragement!

[@nicholflowers2077]

Another great video! I love that you explain the goal of each step

[@serenequek8483]

You're great. I really learned a ton from this and your explanation is very clear

[@DataProfessor]

Glad it was helpful!

[@SabahAzmi]

how to find the accuracy_score, f1_score, recall_score and precision_score?

[@datadriventhinking5055]

Great video, thanks! I would be very helpful to not only color the scores, but also to sort models by score in descending order

[@DataProfessor]

Great suggestion!

[@dakshbhatnagar]

Color coding not so much but sorting by values, any day!!!!

[@ronakttawde]

Super awsm video...what else any ML Engg. want? This is completely phenomenal tutorial. Thank you so much for making this video.

[@devarakondahimaja8423]

if i want to calculate the specificity using the confusion matrix in the same code how to do it?

[@abhijith167]

Great Video, I have been looking for something similar to this. Thank a ton!

[@DataProfessor]

Glad it was helpful!

[@johnpeteru2b]

Explanation is Great. Thank you.

[@DataProfessor]

Glad it was helpful!

[@elgrachev4553]

Not sure how can you compare the classifiers using just one score point? The result can be obtained because of a statistical chance.

[@mamacita5636]

Thank you so much for this!

[@MrChudhi]

Nice stuff. Just a question Is it possible to compare Machine learning classifiers in Python using GridSearchCV and if I want to use scoring option as F2 sore, what should I do? Thank you.

[@DataProfessor]

GridSearchCV is for hyperparameter tuning of a single classifier. But you can embed the use of GridSearchCV inside the for loop of the ML classifier comparison. As for the scoring option, you can specify F1 score in the "scoring" argument of the GridSearchCV function.

[@MrChudhi]

@@DataProfessor One more question in your code scores[] if I want to replace the model scores with f2 score what should I do? Please can you give me the code. I tried but it is not working. Means I want to compare the models with respect to f2 score. Thank you.

[@gezahagnnegash9740]

Thanks for sharing! It's helpful.

[@DataProfessor]

Glad to hear that, thanks for watching!

[@sudhakarsingha283]

Excellent video. If possible then please make a video on hybrid ML technique.

[@DataProfessor]

Thanks for suggestion 😊

[@kamrankerim636]

exactly what I needed

[@shubhangigosavi1296]

Very nice video.Thanks

[@DataProfessor]

You're welcome!

[@SundayOkafor]

Thanks always for your great content. Which classifiers can I use for multinomial classification? I have more than five labels for my targets.

[@DataProfessor]

Hi, any classifier would do.

[@williamlambos7740]

Dear Data Professor: I have been searching TH-cam for your video on building a sequential neural net model for multinomial classification in Python using tensor flow (and not scikit-learn). I am pretty sure I came across one but now I am unable to find it. I'm new to subscribing to TH-cam channels, and I did subscribe to yours using a google email address, but I can't find it now. Any help would be greatly appreciated, and I am willing to pay for a monthly premium subscription. Please advise further...

[@bhaskartripathi]

Accuracy scores should be further compared to check if they have significant differences using z-test or t-test

[@magicpoom1]

Thanks for your video. This video make me to understanding

[@DataProfessor]

Thanks Warawat for your kind comment. It's a pleasure.

[@dearcharlyn]

Thank you data professor.

[@DataProfessor]

You are welcome 😊

[@xennnnnn]

You're great! Clear and simple explanation, even if the world out there is not so plain... :) could you do a video on Time Series model? thanks.

[@DataProfessor]

Great suggestion! I will see what I can do.

[@dreamphoenix]

Thank you.

[@AnandaMiarta]

hello, I enjoy watching your video. Can I request to you, to explain the algorithm about Hybrid Approach that combines Random Forest and SVM?

[@ДандарШандибаев]

thx 4 this. That's so helpful info ty

[@DataProfessor]

Thanks for watching 😃

[@analuciademoraislimalucial6039]

Thanks teacher

[@DataProfessor]

You are welcome

[@mahmoodhonarvar3520]

Great

[@DataProfessor]

Thank you for watching 😊