Decision Tree Classification Clearly Explained!

Video quality	The size	Download

Information Decision Tree Classification Clearly Explained!

Title	:	Decision Tree Classification Clearly Explained!
Lasting	:	10.33
Date of publication	:
Views	:	402 rb

Why is it obvious that we would have a horizontal splitting line for X1?
Comment from : Mandrake101

The quality of your video is great !
Comment from : Aniruddh Singh

Excellent video! Thanks a bunch
Comment from : Caio Montagner

you won my heart with that music in between subscribed
Comment from : Ahoora

Loved this video, well elucidated, and awesome graphics
Comment from : Bekezela B Khabo

great video thanks
Comment from : Nada El Nokaly

Think you very Much for this video, watching it from Brazil 🇧🇷
Comment from : Top4 desenhos

You explained better than my professor
Comment from : Mona Ma

how to create such animated video? which software you are using ? thank you
Comment from : Data Science Today

wonderfully explained, thank you so much
Comment from : gi an

Excellent video!!! Clearly explained Would like to clarify why log base is 2? Is it because this example only has 2 classes? For n class situation should we use log base n? Thanks in advance
Comment from : abinav92

Awesome video As a fellow colorblind follower, it is very difficult to discern red/green
Comment from : Chico FTB

This video is not colorblind friendly :(
Comment from : SQUIDWARD OF RIVIA

Very well done!
Comment from : Arpan Kumar

I missed how you decided which data goes right or left So if a number meet the if condition (true case) do we put the number right or left?
Comment from : Moe Al

quick question, is this neural networks explained in a different way / structure or is this something entirely different that leads to similar outputs that neural networks gives
Comment from : AniLaxsus

I actually didn't understand how did u come up with -1log(1) - 0log(0) etc to calculate entropy of each node
Comment from : Sumit Kumar

Also I think that whenever someone talks about something like information gain or entropy he/she must specify (if not obvious) in terms of what That is, information again Who's/which attribute's information gain ? Entropy For which attribute? brAt least I find this missing in my textbook 😅👍🏼
Comment from : Samarth Tandale

Awesome now I am able to link all the concepts and mathematics learnt in textbook with your video ❣️🙏🏾
Comment from : Samarth Tandale

Good video, but wouldn't the decision tree misclassify the red point at (-12, -13)?
Comment from : pickle

first!
Comment from : Oscar Dunge

how do calculate the probability
Comment from : T3alm codi

at 5:43 why is a horizontal line place when you say x1 is less than or equal to 4?
Comment from : Ben Schroeder

Perfect thanks a lot !
Comment from : Ahmet Cihan

Perfect video 😊
Comment from : Ruy Silva

This is one of the clearest explanation have seen on this topic good job
Comment from : sokipriala jonah

I want to thank YouTube algorithm for making me stumble upon this god level video Thank You
Comment from : Soham Dutta

Thank you very much, I wanted to understand the concept and purpose of decision trees before attempting to use them so I could understand the information it produces This video was so helpful
Comment from : Tracy Marr

hood irony subscribe bell
Comment from : Ryan

Excellent explanation Its much more clear now than what my prof has explained Thanks a ton!!!
Comment from : Krishno Sarkar

Amazing
Comment from : Harm Moolenaar

all of this was amazingly well done tysm!
Comment from : Folkus On Me Extras

Very nice and straightforward explanation Thank you
Comment from : Qusai Karrar

I need the slide
Comment from : MHMD AKRAM

Why haven't I found this before? Beautifully explained 🙂 Thank you for making such videos
Comment from : Nowshad Khan

the voicebrbri'd hire a native narrator
Comment from : Outdex

@7:33 min where id you get "57" and "43" from ?
Comment from : praveer kumar

This is amazing nerd! Thank you so much
Comment from : Jude-Harrison Obidinnu

Beautifully explained Thanks, brother
Comment from : Debashis Chakraborty

Thanks bro
Comment from : Adam Professionnel

bravo!!! thank you so so much!
Comment from : Gohard Orgohome

Really nice animation and explaination
Comment from : Pengpeng Wang

5:04
Comment from : Emmanuel Apata

Am i the only one who can see the green points fall within a given radius?
Comment from : cybern9ne

For the first time, I learnt the significance of decision trees and how they predict! Thank you!
Comment from : Ujjwal

Bro this feels like a poor man's neural network!
Comment from : Yūgen

Great video! Do you have a book recommendation or a paper that explains this and further?
Comment from : Alic Kaufmann

Great video!! Quite accurate information, I'd saybrbut pls work on the colours I'm `red-green colour-blind` and pretty much all dots are indistinguishable for me Pls refer some videos on colour theory and I'm sure you'll make your content way too much appealing and compatible with the folks like mebrThanks again for the superb content +1 sub for your efforts Cheers
Comment from : shripal mehta

Thank You
Comment from : Siddhi Golatkar

So proud of Grant Sanderson @3blue1brown
Comment from : Myspy

You are Bengali I know
Comment from : Sudipan Paul

You are awesome Sir!
Comment from : pjakobsen

Great video, but the colors you use are very difficult for people with red-green-blindness
Comment from : Pete

Dude your explanation is amazing! Good job!
Comment from : Daniel Mihalache

To be able to clearly explain thing and directly deliver information on a subject is such a gift thank you
Comment from : Gehad

Thank you
Comment from : Frias

Best explanation Took me from knowing nothing to a pretty solid understnding Thank you !
Comment from : Dominique De Wet

Amazing video, thanks! Our 2 hour lecture was a complete mess, but this 10-minute video was priceless for my understanding
Comment from : Liselotte Jongejans

This was amazingly clear and easy to understand It will help me a lot in my research actually! Thank you so much for making this video!
Comment from : pexme

This was a great explanation Thank you !!
Comment from : Anuska

blue and yellowbrBLUE AND YELLOW!!!!brTHERE ARE FREAKING COLORBLIND PEOPLE YOU $&·&/ !!!!!
Comment from : weon_penca

thaliavaaaa
Comment from : Akshaj Varma

Wonderful video! Thank you for all the effort you put into it!
Comment from : xx Elurra xx

Great job! Thanks
Comment from : José Ronald da Silva

in just 10 minutes I saw the best explanation, keep it up this will be my fav channel
Comment from : Abdulaziz Alharbi

best explanations i have ever heard nice work
Comment from : Abrar Ali

For somebody who is stupid/dummy: why are the names x0, x1? how does these names correspond to if the line is drawn vertically or horizontally?
Comment from : Simon Farre

Fantastic video I learnt more in 10mins of this video than I did spending over an hour reading lecture slides from uni
Comment from : CavingMonkey

You explained this in 10 minutes! Thank you!
Comment from : Heather and Sharada

Many Thanks!
Comment from : Mehmet

amazing got it in 1st attempt only
Comment from : Dev Kumar

One of the best concept explanations I have heard Cheers
Comment from : Lucas

Love this alreadyyyy, please do moreeeeeeeeeeeeeeeeee
Comment from : RahulRaj Sodadasi

Your videos are beautiful and a great resource -- thank you so much! Just curious, what do you use to make the small animations throughout your videos? As a fellow video creator I'm intrigued -- never seen anything like your style before
Comment from : MetricFruit

🤓🤓🤓🤓🤓🤓🤓🤓
Comment from : C&C_1 Enjoyer

I'm 👽
Comment from : Monang

Great Video!
Comment from : StudySelection

Thank you so much for this video, I appreciate the visuals and how easy to understand it is :)
Comment from : Gabriela Erazo Lainez

Your 10-minute video is more helpful than my prof's 2-hour speech! Crystal clear
Comment from : TrumpBack

2 hours lecture done in 10 mins
Comment from : Samiul Haque

Beautiful video
Comment from : woodworking aspirations

Thanks for you work in your Normalized Nerd channel, can I know the software used by you for editing, coz it would help me in my presentation as the transitions are very smooth, brThanking you
Comment from : kushal hemanth

Excellent!
Comment from : Aflous

Well done! Very clear explanation
Comment from : Tanvir Hasan Monir

Amazing!! Follow-up question: How does a decision tree work when we have more than 2 variables (x0,x1,,xn)?
Comment from : Otmane Zizi

WHERE IS THE MATHHHHHHHHHHHHHHHHH
Comment from : Matebit

Great way to share knowledge, Thak you so much!
Comment from : Rodrigo Garza

Very clear explanation! Thank you
Comment from : golden Sapiens

my brother in christ, this is a great explanation🛂
Comment from : Josh Bird

Bruh indians explaining stuff to us is the greatest gift that God has given to humanity
Comment from : Ukiyomis

How is x0≤9 decided? while on the left-hand side there is no such condition
Comment from : Anwar Hussain

Well done! Very clear explanation of the concepts The animations are awesome
Comment from : Ahmad Asgharian Rezaei

manim is a such a great blessing for brilliant content creators like you
Comment from : RAJAT CHOPRA 🇮🇳

How can a decision tree be relearned?
Comment from : Adhithya Rajan

clearly explained is for stat quest i think
Comment from : Garvit Jain

Thank you
Comment from : veysel aytekin

New to your channel and love it - so clearly explained
Comment from : Paul Whiteside

Really well explained, but Could you please consider using some symbols along with colors (or more distinct colors) I couldn't distinguish the points apart from colors
Comment from : Roshan Poudel