How to Implement Decision Trees in Python (Train, Test, Evaluate, Explain)

Quick question! 😊 Does the train_test_split function automatically remove the target variable from X_test, or should it be removed manually?

I followed along with your video and encountered something interesting. When I didn't specify max_depth and ran the model, I got an accuracy score of 100%. I'm a bit confused and wondering whether it's related to the target variable being present in the test set. Any insights or explanations would be greatly appreciated!

Walked away from my course learning material not understanding this and gained so much more from this video. Thanks!

thank you Misra, you help me with my master thesis :)

Amazing explanation Misra. That unique smile on your face adds to the way you explain the complex things. I have subscribed to your channel. Thanks

how to implement it online

Great love ya!

thank you a lot and ramadan kareem

A huge thank you for your effort! I understood it easily and was able to do my assignment!!!

thanks and Ramadan mubarek for all mosslims people

Hey! Such an informative video. I just want to learn one thing, that is how do I enter a new list (consisting of only the features) and get my output as whether it is malignant or benign? Thanks a lot.

best guide for beginners, keep it up

please explain eda first

Misra, thank you for this great "code-along". It really helped get a hands-on experience for the concepts that I'm learning.

Worderfull. Thanks

Excellent

How did you fo the code for feature importance i could not see line 21 properly

Hello, can you please help me. I'm using this decision tree model as a recommender system but my model can only recommend only one output. How can i recommend multiple outputs using only one sample data?

Very good explanation mam I like it

thank you so muchhh Mrs!!! I found this video for hours...

Its really appreciated

Can't believe this is free! it is much well explained comparing to what my lectures and tutor's did! Definitely recommended and Subscribed! Thank you so much!

Why am i getting accuracy score of 1?(i am using my own dataset after feature selection)

Delivered in a friendly manner. Love it.

I love you!

Great video! subscribed to your channel. Good luck :)

Miss can u show me how to use Information_gain source code in Dtree using sklearn library?? 🙂

Thanks Misra , you are expalining purely.

Dear Misra, how could I conduct a multi-class prediction? Respectively what parameters would need to be changed to do so?

Is this actually a clustering algorithm only? How does the algorithm know what we are looking for as a target prediction, Misra? How is it possible that 'target' is a column of the 'data' but not included in the dataframe which again is based on 'data' from sklearn library?

Hello guys, I’m not a student but have a question that I was hoping someone could help me with. Is there a minimum amount of data required per variable your testing when proceeding with this form of machine learning? Any guidance would be much appreciated

Decision trees use supervised learning right? I don't understand at which point we tell the algorithm which is the correct data and which isn't (is the dataset already labelled)? Wouldn't we need to give the data and say this data = cancerous and give the other data and say this data = benign etc

Wonderfully explained! Quite new to the data science and ML world and it's all so very exciting!

Hi. I am studying this at the moment and your explanation is superb. You include what is relevant and what is useful without unnecessary deviation into obscurities or irrelevancies. Your explanation is perfect, Misra. Thankyou.

Really great explanation, thank you!

is it possible to traverse a decision tree based on user input and give a prediction? thx

Thanks for the video.

can you send to me your jupyter notebook you used?

can u drop the code

Video is good but it must have been best with hyperparameter with crossvalidation.

In feature importances sort values are not appearing

By far the best explanation, thank you so much!

Hello Misra, thanks for the excellent video. Any way you can make the Jupyter notebook available? Thanks.

Awesome video, thank you Misra

Best and clear explanation By the way I have a crush on you🙂🤣😂

Awesome video, where can I find the jupyter notebook?

Thank you Misra! great example

Thank you for the explanation. The feature importance plot depicts overall how important each feature is in distinguishing the two classes. Can we plot feature importance plot per class, one for malignant class and other for benign that shows feature importance score w.r.t each class, rather than whole?

Simple and clear!