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Association Rule Mining (Part 2) - Support/Confidence/Lift 

EzzaAk
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24 окт 2024

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Комментарии : 11   
@allen1docs
@allen1docs Год назад
This is just what I needed! After several videos of non-sense, you simplified the concept into recognizable terms and I finally understand now. Thank you so much!!
@ahmadjaradat3011
@ahmadjaradat3011 Месяц назад
Very very excellent explanation
@Paperstressed
@Paperstressed 14 дней назад
Thank you...
@komaravalliranga8874
@komaravalliranga8874 6 месяцев назад
Very very excellent explaination🎉❤
@RafiqRohizad99
@RafiqRohizad99 Год назад
Why does the way to count the correlations is so different from the teks book formula. For example, to know lift ratio, we use the support of x divide by support of y, rather than following - support/supp(X) x supp(Y)?
@goutamborthakur4980
@goutamborthakur4980 4 года назад
Good content! How we can decide which support, confidence and lift value is good or any range of values?
@saimirfan902
@saimirfan902 2 года назад
For anyone wondering this, our professor told us that support and confidence is usually decided by the domain experts.
@VideamRaveeni
@VideamRaveeni Год назад
awesome explanation! thnx
@Bryan-eg7si
@Bryan-eg7si Год назад
Great content thanks alot !
@classiquai
@classiquai 2 года назад
Hi, just a question on the part of "multiple consequents". Are the subsets considered as one consequent, I thought apriori doesn't generate more than one consequent?
@RobertR1611
@RobertR1611 3 года назад
Thank you.
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