November 2018
Beginner to intermediate
568 pages
15h 59m
English
Content preview from Data Science, 2nd Edition
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Table 4.4
| No. | Temperature X1 | Humidity X2 | Outlook X3 | Wind X4 | Play (Class Label) Y |
|---|---|---|---|---|---|
| 1 | High | Med | Sunny | false | no |
| 2 | High | High | Sunny | true | no |
| 3 | Low | Low | Rain | true | no |
| 4 | Med | High | Sunny | false | no |
| 5 | Low | Med | Rain | true | no |
| 6 | High | Med | Overcast | false | yes |
| 7 | Low | High | Rain | false | yes |
| 8 | Low | Med | Rain | false | yes |
| 9 | Low | Low | Overcast | true | yes |
| 10 | Low | Low | Sunny | false | yes |
| 11 | Med | Med | Rain | false | yes |
| 12 | Med | Low | Sunny | true | yes |
| 13 | Med | High | Overcast | true | yes |
| 14 | High | Low | Overcast | false | yes |
Step 1: Calculating Prior Probability P(Y)
Prior probability P(Y) is the probability of an outcome. In this example set there are two possible outcomes: Play=yes and Play=no. From Table 4.4, 5 out of 14 records with the “no” ...
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