6. Gaussian Naive Bayes Classifier Algorithm to classify the person as Male or Female Solved Example

6. Gaussian Naive Bayes Classifier Algorithm to classify the person as Male or Female Solved Example by Dr. Mahesh Huddar
Based on the following data (Person Dataset) determine the gender of a person having height 6 ft., weight 130 lbs, and foot size 8 inches. (use Naive Bayes algorithm).
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The following concepts are discussed:
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[@amnaahmed4729]

what is the value of evidence

[@meshackamimo1945]

what a beautiful explanation!

[@MaheshHuddar]

Thank You
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[@waidapapa1514]

Sir what is the value of evidence

[@vaibhavv475]

Did you get the answer of evidence?

[@waidapapa1514]

@@vaibhavv475 no

[@itsasecret2132]

@@vaibhavv475 no bro evidence is lost

[@neerajchauhan3790]

Well Explained💙

[@MaheshHuddar]

Thank You
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[@VikashSingh-vd9cp]

best explained

[@MaheshHuddar]

Thank You
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[@nadjetsaidani7924]

Thank you for this sample explaind , i solved this example , but i have another values of variance of height goven female , and of P(h/m)

[@akashpb4179]

P(H/M)>1 ?? Is it correct ?

[@kartikpandya2193]

I think P(h|M) should be less than 1

[@golimark6513]

That's amazing, but the computation give me the same value, maybe in this case it's ryt.

[@minshugupta8924]

variance ke formula me n-1 nhi n hgA

[@emadman8212]

@@minshugupta8924for small datasets, n-1 is used.

[@soumyajitchatterjee5603]

This is the probability density. Check the Gaussian Naive Bayes here: en.wikipedia.org/wiki/Naive_Bayes_classifier. Another nice explanation is available here: ruclips.net/video/TcAQKPgymLE/видео.html

[@AlokTP]

Such a clear voice!

[@MaheshHuddar]

Thank you
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[@vaibhavv475]

What is the value of evidence?

[@nothing2everything772]

That can be ignored, answer will be same with or without the denominator

[@rishabhkumar8115]

good work bro

[@MaheshHuddar]

Thank You
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[@salmanshahid8128]

Thank you so much sir. ❤

[@MaheshHuddar]

Welcome
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[@apurba1903]

Thanks Sir

[@MaheshHuddar]

Welcome
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[@luciddreams99]

Nicely explained. Thank you.

[@nikhily8646]

Great sir 🙏

[@MaheshHuddar]

Thank You
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[@talhajalil8674]

What is the value of evidence?

[@MR_BINGO_]

5:28 bro he mentioned to leave evidence value. i too got the same doubt and went back😅

[@kaarunya9118]

Sir is this normalise guassian distrubution problem

[@kaarunya9118]

@@MaheshHuddar sir i wanted to mail you some pictures can u help me in solving them

[@kaarunya9118]

and i have to thank you sir for this guassian it same model came in our another slot exam

[@kaarunya9118]

@@MaheshHuddar VIT AP SIR

[@kaarunya9118]

@@MaheshHuddar vit sir your mail did please

[@kaarunya9118]

@@MaheshHuddar i have sent an mail sir can u please check

[@korimibhargavi7228]

well explained.You are really great sir.💯

[@MaheshHuddar]

Thank You
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[@CreativityCourse]

Is std = sqrt of variance ?

[@MaheshHuddar]

Yes

[@MahaLakshmi-pg5ux]

Sir, what if all the attribute values are continuous values..for example we don't have gender in the above example

[@meshackamimo1945]

the values being used here are continuous--meaning they are discrete numerical values--as opposed to categorical or class. that why we are using gaussian, rather than naïve . please see the youtube video on naive bayes, done by the same author, posted here on youtube---it is dealing with non continuous variables--ie CATEGORICAL VARIABLES to predict viability of play or no-play, based on the day's weather

[@meshackamimo1945]

gender is not a predictor but but one of the classes you will be predicting using the continuous variables highlighted