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
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[@cs6a22nambiarkishormanojma7]

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

[@MaheshHuddar]

Welcome
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[@-Tony-Gunk-]

Thank you so much, very helpful!

[@MaheshHuddar]

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[@user-zx9yp8uw8w]

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

[@MaheshHuddar]

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[@Deepak_3860]

Thank you!! amazing lecture 👏😊

[@MaheshHuddar]

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[@TheSougata1]

Great explanation sir. Thank you🙂

[@MaheshHuddar]

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[@muktevia]

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

[@alibaghban2934]

Thanks, liked the way you taught it!!

[@MaheshHuddar]

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[@ushnakhan198]

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

[@MaheshHuddar]

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[@manideepreddyenugala4097]

Best video on internet regarding gini

[@MaheshHuddar]

Thank You
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[@anandkumar-wr4bp]

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

[@MaheshHuddar]

Thank You
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[@damdhar]

Thank you. You made my day.

[@MaheshHuddar]

Welcome
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[@gamerworld4464]

Finally understood this topic 👍🙏

[@MaheshHuddar]

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[@isyhraf87]

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

[@MaheshHuddar]

Most welcome!
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[@robbiedeegan3121]

Great video, thank you!

[@aanandkautilya]

well explained! thanks

[@MaheshHuddar]

Thank You
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[@acestorm5555]

Godbless you 🌸 a true saviour

[@MaheshHuddar]

Thank You
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[@difflyfe23]

great explanation

[@MaheshHuddar]

Thank You
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[@jaiyanand2347]

Amazing work thanks a lot

[@MaheshHuddar]

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[@TungNguyen-xc2xg]

thanks, nice explanation

[@MaheshHuddar]

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[@yuvrajoberoi1187]

very nicely explained!

[@MaheshHuddar]

Thank You
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[@adinikejos3]

Thank you sir!

[@MaheshHuddar]

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[@justinrinearson8055]

Fantastic video.

[@MaheshHuddar]

Thank You
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[@nandinipriya7612]

really nice explanation

[@MaheshHuddar]

Thank you
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[@muhammadfaizan1264]

Thank you

[@MaheshHuddar]

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[@ronitgurjar5747]

Thank you sir 🔥🔥🔥🔥

[@MaheshHuddar]

Welcome
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[@alimajeed3582]

Thank you so much my friend you saved me

[@MaheshHuddar]

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[@roshithborra4713]

superb explanation sir

[@MaheshHuddar]

Thanks and welcome
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[@JackyWakadia]

Excellent!!!!

[@MaheshHuddar]

Thank You...
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[@khokanmahmud9156]

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

[@MaheshHuddar]

Thank You
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[@khokanmahmud9156]

@@MaheshHuddar Jahangir Nagar University, Bangladesh

[@MuhammadKhan-vj9hz]

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

[@MaheshHuddar]

Welcome
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[@minhduc8a21]

Very useful lesson

[@MaheshHuddar]

Thank You
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[@STTPwithRajani]

Thanks 🙏

[@MaheshHuddar]

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[@parthokr]

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

[@rahulbiradar4837]

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

[@MaheshHuddar]

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[@upendraaswal238]

very nice explanation

[@MaheshHuddar]

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[@saimhatre89]

Thank u sir

[@MaheshHuddar]

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[@sivacharankadagala2744]

thanks sir 🙏

[@MaheshHuddar]

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[@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?

[@pranavanand2942]

Thanks

[@MaheshHuddar]

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[@YasirAli-sj5ql]

Thanls

[@MaheshHuddar]

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[@ksjksjgg]

thanks for great explanation!!!

[@MaheshHuddar]

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[@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.

[@thepowerofpositivethinking2593]

wonderful

[@MaheshHuddar]

Thank You
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[@romualdlane9693]

Very Good

[@MaheshHuddar]

Thank You
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[@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
ua-cam.com/video/41SHQjwuQ5o/v-deo.html

[@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

[@shubhamdas6519]

Really appreciate...you make it ease for me

[@MaheshHuddar]

Thank You
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[@fintech1378]

do you have video about cross entropy?

[@janikaa516]

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

[@itskaaryan7]

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

[@ABDULLAHANSARI-nx7ft]

SIR GINI INDEX AND CART ALGORITHM ARE SAME?

[@sanjusabu5488]

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

[@SaurabhSubedi-xw3vc]

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

[@MaheshHuddar]

Welcome
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[@raghupathipola4903]

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

[@ExploringWorld100]

good

[@MaheshHuddar]

Thank You
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[@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

[@md.aminulkaderbulbul4599]

Best

[@MaheshHuddar]

Thank You
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[@kop0164]

My professor are useless you are a gem before exam night

[@MaheshHuddar]

Thank You
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[@techflying8660]

sunny has 2 tennis and 1 cinema

[@srishtibatra9991]

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

[@kop0164]

Just for comparison nothing special

[@swethanandyala]

please share the ppt sir

[@datascience3008]

shouldn't the result be a binary tree

[@jawediqbal7471]

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

[@madgepereira2891]

It is necessary

[@uskakutta7261]

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

[@MaheshHuddar]

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[@jaypatel9221]

Exam me likhe kese bohat bada hai