Naive Bayesian by rohayanti hasan https://padlet.com/rohayanti/Naive_Bayesian Made with panache en-us 2017-04-27 01:35:24 UTC 2024-04-12 09:32:53 UTC hello@padlet.com Naive bayesian rohayanti https://padlet.com/rohayanti/Naive_Bayesian/wish/168525913 1.  Given a new instance, predict its label x’=(Outlook=Overcast, Temperature=Cool, Humidity=High, Wind=Strong) 
2. Given a new instance, predict its label x’=(Outlook=Overcast, Temperature=Cool, Humidity=Normal, Wind=Weak) 
3. Given a new instance, predict its label x’=(Outlook=Rain, Temperature=Mild, Humidity=Normal, Wind=Weak) ]]> 2017-04-27 01:36:06 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168525913 THE MOST https://padlet.com/rohayanti/Naive_Bayesian/wish/168526840 2017-04-27 01:45:53 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168526840 N4 https://padlet.com/rohayanti/Naive_Bayesian/wish/168527980 1.Given the fact P(Yes|x’) > P(No|x’), we label x’ to be “yES”
2.Given the fact P(Yes|x’) > P(No|x’), we label x’ to be “yES”
3.Given the fact P(Yes|x’) > P(No|x’), we label x’ to be “yES”]]> 2017-04-27 01:55:49 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168527980 TITANIUM https://padlet.com/rohayanti/Naive_Bayesian/wish/168528562 2017-04-27 02:01:39 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168528562 MADEMOISELLE https://padlet.com/rohayanti/Naive_Bayesian/wish/168528599 1. P(YES|X') = (4/9 * 3/9*3/9*3/9)*9/14 = 0.01058
     P(NO|X') = (0/5 * 1/5*4/5*3/5)*5/14 = 0
    YES

2. P(YES|X') = (4/9 * 3/9*6/9*6/9)*9/14 = 0.04233
     P(NO|X') = (0/5 * 1/5*1/5*2/5)*5/14 = 0
    YES

3. P(YES|X') = (3/9 * 4/9*6/9*6/9)*9/14 = 0.04233
     P(NO|X') = (2/5 * 1/5*1/5*2/5)*5/14 = 0.00457
YES


]]> 2017-04-27 02:01:58 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168528599 MIX https://padlet.com/rohayanti/Naive_Bayesian/wish/168529868 2017-04-27 02:10:53 UTC https://padlet.com/rohayanti/Naive_Bayesian/wish/168529868