Timeline for How to interpret a decision tree correctly?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 11, 2016 at 16:03 | vote | accept | DataD | ||
| Feb 11, 2016 at 15:03 | comment | added | Dawny33 | @DataNewb Yeah, you're on the right way :) | |
| Feb 11, 2016 at 14:58 | comment | added | DataD | Sorry, I can't seem to use line breaks :( | |
| Feb 11, 2016 at 14:55 | comment | added | DataD | To calculate the probability of observation X and Y's credit ratings using the formula found on the link you gave: #(NodeCondition & Attr=Value) / #(NodeCondition) Observation X P(Good) = 272/483 = 0.56 P(Bad) = 211/483 = 0.44 Observation Y P(Good) = 99/553 = 0.18 P(Bad) = 454/553= 0.82 Have I done this correctly? | |
| Feb 11, 2016 at 6:34 | history | edited | Dawny33 | CC BY-SA 3.0 |
added 4 characters in body
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| Feb 11, 2016 at 2:22 | history | answered | Dawny33 | CC BY-SA 3.0 |