Computer scienceData scienceMachine learningEnsemble learning

Adaboost: an illustrated walk-through

The amount of say

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Suppose the team of soda developers decided to introduce a line of energy drinks. One of their first items is the Mystery drink. They asked a group of energy drink connoisseurs to test the first batch and complete a short survey about their preferences. The responses look like this:

+----+--------------+------------------+------------------------+--------+
|    | zero sugar   | blue coloring?   |   caffeine content(mg) | take   |
|----+--------------+------------------+------------------------+--------|
|  0 | yes          | no               |                    400 | yes    |
|  1 | yes          | yes              |                    125 | yes    |
|  2 | no           | no               |                     85 | no     |
|  3 | yes          | yes              |                    300 | yes    |
|  4 | no           | yes              |                    275 | yes    |
|  5 | yes          | no               |                    200 | no     |
|  6 | no           | no               |                     85 | no     |  
+----+--------------+------------------+------------------------+--------+

The following stump was chosen first:

The decision stump for the 'caffeine content(mg)' feature

Calculate the amount of say for the caffeine content stump. Enter the value rounded up to the first decimal.

As a reminder, the amount of say is calculated as:

$\text{AOS} = \frac{1}{2} \ln \frac{1- \text{total error}}{\text{total error}}$

Enter a number

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