Hi, Thanks for this excellent video. I have a question that: Can we apply Laplace transform only to p(outlook = Overcast| no)? or should we also apply to other terms of product like p(temp = cool | no), p(hum = hight | no) and p(wind = strong | no) although the other terms are not 0
@@akshitajha6382 so what is the answer, i don't quite get it. If we have p(outlook = Overcast/no), we should use Laplace for p(outook = sunny/ no) and P(rainy/no) too.
But if i have (sunny, hot, high, strong), there is no zero probability here, so when i calculate, do i need to use the laplace for sunny or just take the initial value (2/9, 3/5)???. Please reply me as soon as possible
Sir , there is a confusion, when you changed the prob for no class, is there an impact of yes class , as the counts also incresed that class also , or that will remain same for yes class, please clear 🙏🏻
@@MaheshHuddar If we have p(outlook = Overcast/no), we should use Laplace for p(outook = sunny/ no) and P(rainy/no) too. But if i have (sunny, hot, high, strong), there is no zero probability here, so when i calculate, do i need to use the laplace for sunny or just take the initial value (2/9, 3/5)???. Please reply me as soon as possible
@@tuananhtran5071 actually p(outlook= overcast/no) + p(outlook= sunny/ no) + p(Outlook=rainy/ no) = 1 When we are smoothing the probability mass from large probabilities are given to the smaller ones. So, we have to smooth posterior probabilities for the Outlook feature conditioned on play = no
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Great work sir...💖
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Hi, Thanks for this excellent video. I have a question that: Can we apply Laplace transform only to p(outlook = Overcast| no)? or should we also apply to other terms of product like p(temp = cool | no), p(hum = hight | no) and p(wind = strong | no) although the other terms are not 0
i have same question
@@dastan-e-lahore2487 that term only in case of both P(overcast/yes) and P(overcast/No)
It's needless to apply there
It's only probability 0 problem ig
@@akshitajha6382 so what is the answer, i don't quite get it. If we have p(outlook = Overcast/no), we should use Laplace for p(outook = sunny/ no) and P(rainy/no) too.
But if i have (sunny, hot, high, strong), there is no zero probability here, so when i calculate, do i need to use the laplace for sunny or just take the initial value (2/9, 3/5)???. Please reply me as soon as possible
Sir , there is a confusion, when you changed the prob for no class, is there an impact of yes class , as the counts also incresed that class also , or that will remain same for yes class, please clear 🙏🏻
Yes, you also have to apply Laplace smoothing in overcast = yes so they will be equal
Sir, will the other probabilities remain same? or it will change due to inserting new record.
all the probabilities for outlook feature should change so that to keep their summation 1
God 🙌
Thank You
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@@MaheshHuddar If we have p(outlook = Overcast/no), we should use Laplace for p(outook = sunny/ no) and P(rainy/no) too. But if i have (sunny, hot, high, strong), there is no zero probability here, so when i calculate, do i need to use the laplace for sunny or just take the initial value (2/9, 3/5)???. Please reply me as soon as possible
@@tuananhtran5071 actually p(outlook= overcast/no) + p(outlook= sunny/ no) + p(Outlook=rainy/ no) = 1
When we are smoothing the probability mass from large probabilities are given to the smaller ones. So, we have to smooth posterior probabilities for the Outlook feature conditioned on play = no