Bayes Theorem: A Visual Introduction For Beginners by Dan Morris

Bayes Theorem: A Visual Introduction For Beginners by Dan Morris

Author:Dan Morris [Morris, Dan]
Language: eng
Format: epub, mobi
Publisher: Blue Windmill
Published: 2016-10-02T05:00:00+00:00


Path 4: No Rebel - Predict No

Label NN

Compute: .43 x .85 = 0.3655

** How did we find .85 ? Since the probability of both branches together is 100%, or 1, we subtracted .15 from 1. 1-.15 = .85

Step 4.

Once we have our numbers, we need to sum Path 1 and Path 3. Here is why we are doing this:

The sum of Path 1 and Path 3 tells us the probability of Intel having a positive (yes) prediction. In other words it tells us P(B), which is our missing ingredient.

When we sum Path 1 and Path 3 we are adding both ways Intel can come to a positive (yes) prediction. Path 1 represents Intel predicting “yes” when the soldier is a rebel. Path 3 represents Intel predicting “yes” when the soldier is not a rebel.When we add these paths together, we find P(B)



Download



Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.