2. Association Rule Mining-Apriori Algorithm - Solved Numerical Example by Mahesh Huddar

Thank you! Really clear

confidence = Frq(x,y)/frq(x). So why is it divided by the number of items (N)? So, the confidence calculation is incorrect. Please correct me if I'm incorrect.

Thanks Sir ❤Just awesome😊

Sir,What If a transaction id contain more than one similar item should we consider that as one during frequency count
??

what if minimum support count is 3.5 what should we take ? 3 or 4 ?

awesome

Perfect explanation ❤️

ur a legend. Thanks a lot for the videos..

What if in 3item set no item satisfies min. Support ??
then how to proceed??

very nicely explained sir

Sir, frequency of i4 in first calculation is 2 kada ?

I2, i3 came 4times in items but u took 3times

hello sir the frequency of I3 is 6 times and you have taken 5 times

Sir but i3 is there in 6

Frequency of I3 at the first calculation should be 6

1 item set... value of i3 has to be 6

Min support 33.33 how I will calculate

great video , how can we determine the value of support and confidence level during the real life example

I3 support is 6

This video is well. But with the mistake you made, it spoiled everything. In my opinion, you need to redo it. :-)

But it was helpful

Sir for subset creation part, how to know min support = 22% and min confidence = 50%

Sir while calculating the support and confidence(initially) the frequency of which two items should be taken sir ??

Sir actually the 1item sets the item4 have frequency 2 and the item5 have also have frequency 2 but you write 4 is there it's wrong sir

sir there is an error, according to the question there is only 2 'i4' but in the 1-item set the mentioned data frequency has 4 so just correct that part :)

Sir please continue the videos.... Complete other modules also... It's helping me a lot...