Build Decision Tree using Gini Index Solved Numerical Example Machine Learning by Dr. Mahesh Huddar

Build Decision Tree using Gini Index Solved Numerical Example Machine Learning by Dr. Mahesh Huddar
In this video, I will discuss, how to build a decision tree using the Gini index for the given data set. The data set has 3 attributes weather, parent, and money. The output variable has the following possibilities - Cinema, Stay In, Tennis, Shopping
Machine Learning Tutorial - • Machine Learning
Big Data Analysis Tutorial - • Big Data Analytics
Data Science and Machine Learning Tutorial - • Machine Learning
Python Tutorial - • Python Application Pro...
********************************
1. Blog / Website: www.vtupulse.com/
2. Like Facebook Page: / vtupulse
3. Follow us on Instagram: / vtupulse
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates

[@cs6a22nambiarkishormanojma7]

I think this is the most simplest GIni Index Explaination i've come across ! Thanks a lot sir !

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@muktevia]

Amazing and clear explanation. Small correction at 8:00 , when the weather is 'Sunny' the outcome has 2 'Tennis' and 1 'Cinema'

[@tashijawed5472]

What is the purpose of calculating Gini Index for the whole dataset at the start? We never used it.

[@allaboutislam8175]

Because we have to take that attribute which has minimum gini index.

[@silviusyt]

Exactly

[@balajikakumanu3743]

But we consider only weather, parents,money attributes why should I calculate decision gini index sir?

[@Pranauv]

as far as this method goes, it is not used but ig you can use it like this :-
gain(attribute) = gini(whole dataset) - gini(attribute) where gini(attribute) should be least and gain(attribute) the largest as possible... so both are same (acc. to my knowledge on this)..

[@LoveGernal-fc5ox]

To find gain, though we need not to information gain but if calculate the gain than highest gain attribute will be root node

[@parthokr]

why did you computer 0.58 as the gini index of the entire dataset beforehand?

[@isyhraf87]

such a long calculation but easily to understand. thank you sirr!

[@MaheshHuddar]

Most welcome!
Do like share and subscribe

[@ushnakhan198]

thank you so much for this help please keep up the good work

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@romualdlane9693]

Please Sir, If I have a data set with independent categorical variables and independent continuous variables, deciding to use the Gini index to build the decision tree,
if the information gain of the categorical attribute is the same as the information gain of the continuous attribute, and this value is smaller, which is the better attribute in this case?

[@Deepak_3860]

Thank you!! amazing lecture 👏😊

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@alibaghban2934]

Thanks, liked the way you taught it!!

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@user-zx9yp8uw8w]

Very clearly explained. thanks a lot sir for your time and intent to share your knowledge. You are doing great service

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@manideepreddyenugala4097]

Best video on internet regarding gini

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@khokanmahmud9156]

You are doing great job. Your explanation is too good. Simple, clarified and easy to understand.
#KeepUpTheGoodWork

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@khokanmahmud9156]

@@MaheshHuddar Jahangir Nagar University, Bangladesh

[@itskaaryan7]

What was the purpose of finding Gini index of decision attribute as it is not used anywhere

[@srishtibatra9991]

Sir, where did we use the GINI calculated for the entire dataset?

[@kop0164]

Just for comparison nothing special

[@roshithborra4713]

superb explanation sir

[@MaheshHuddar]

Thanks and welcome
Do like share and subscribe

[@difflyfe23]

great explanation

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@ramenbrospodcast]

This is a very good explanation - do you have a video or material for how Gini is calculated for numerical values i.e. for decisions tree regression?

[@MaheshHuddar]

Follow this video
czcams.com/video/41SHQjwuQ5o/video.html

[@anandkumar-wr4bp]

Thanks a lot for making such a great video on Gini index with awesome explanation.

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@chilllife5694]

Sir can you please share the book or notes to practice more questions, we have this subject in engg exams and CANNOT find any reliable source to practice numerical questions! Please sir, it would be huge help.

[@damdhar]

Thank you. You made my day.

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@gamerworld4464]

Finally understood this topic 👍🙏

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@romualdlane9693]

Very Good

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@rahulbiradar4837]

Thank you so much sir. Explained very clean and clear about gini index.

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@acestorm5555]

Godbless you 🌸 a true saviour

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@muhammadfaizan1264]

Thank you

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@akingbhenry]

Hi Prof, I am trying to draw the decision tree for the traffic data using Gini index but I am struggling because of the target feature is in 2 columns. Are you able to point me in the direction of what I need to do? Thanks. Day Weather Time Frequency of traffic Frequency of no traffic
weekday sunny 08:00 2 6
weekday sunny 13:00 0 7
weekday rainy 08:00 2 0
weekday rainy 13:00 3 0
weekend sunny 08:00 1 0
weekend sunny 13:00 1 4
weekend rainy 08:00 3 1
weekend rainy 13:00 2 0

[@JackyWakadia]

Excellent!!!!

[@MaheshHuddar]

Thank You...
Do like share and subscribe

[@MuhammadKhan-vj9hz]

Sir, love from Pakistan. Thank you for such a wonderful explanation

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@minhduc8a21]

Very useful lesson

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@sanjusabu5488]

how can you have three branches, gini is used for binary attribute splitting

[@alimajeed3582]

Thank you so much my friend you saved me

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@janikaa516]

Sir it is possible to find accuracy or confusion matrix using mathematical calculation

[@ABDULLAHANSARI-nx7ft]

SIR GINI INDEX AND CART ALGORITHM ARE SAME?

[@TheSougata1]

Great explanation sir. Thank you🙂

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@-Tony-Gunk-]

Thank you so much, very helpful!

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@raghupathipola4903]

can you please make videos on how we can use the navie bayes on the above example and write confusion matrix for it.

[@justinrinearson8055]

Fantastic video.

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@YasirAli-sj5ql]

Thanls

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@upendraaswal238]

very nice explanation

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@TungNguyen-xc2xg]

thanks, nice explanation

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@SaurabhSubedi-xw3vc]

You saved my ass for tomorrows exam. Thanks a lot . God Bless you man

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@fintech1378]

do you have video about cross entropy?

[@shubhamdas6519]

Really appreciate...you make it ease for me

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@ronitgurjar5747]

Thank you sir 🔥🔥🔥🔥

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@sivacharankadagala2744]

thanks sir 🙏

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@nandinipriya7612]

really nice explanation

[@MaheshHuddar]

Thank you
Do like share and subscribe

[@saimhatre89]

Thank u sir

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@aanandkautilya]

well explained! thanks

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@STTPwithRajani]

Thanks 🙏

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@adinikejos3]

Thank you sir!

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@yuvrajoberoi1187]

very nicely explained!

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@jaiyanand2347]

Amazing work thanks a lot

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@robbiedeegan3121]

Great video, thank you!

[@kop0164]

My professor are useless you are a gem before exam night

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@thepowerofpositivethinking2593]

wonderful

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@pranavanand2942]

Thanks

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@techflying8660]

sunny has 2 tennis and 1 cinema

[@ksjksjgg]

thanks for great explanation!!!

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@ExploringWorld100]

good

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@jawediqbal7471]

At 1:32 What is the reason to calculate the GINI index of entire collection? We never used it.

[@madgepereira2891]

It is necessary

[@md.aminulkaderbulbul4599]

Best

[@MaheshHuddar]

Thank You
Do like share and subscribe

[@swethanandyala]

please share the ppt sir

[@datascience3008]

shouldn't the result be a binary tree

[@uskakutta7261]

Mahesh seeing your lectures i feel bad for getting such bad lecturers😢

[@MaheshHuddar]

Do like share and subscribe

[@jaypatel9221]

Exam me likhe kese bohat bada hai