At least have a look at how / if it could be useful.
Idea is to build a decision based on the parameters we'll use for identifying and activating thermal triggers. This would give us a good image of which parameters are the most relevant when identifying thermal triggers - pressure, humidity, wind, cloud coverage, etc.
Not sure how it could be used, but would be a nice way to determine how relevant each parameter is.
Idea taken from chapter 7 'Modeling with decision trees' of Programming Collective Intelligence.
At least have a look at how / if it could be useful.
Idea is to build a decision based on the parameters we'll use for identifying and activating thermal triggers. This would give us a good image of which parameters are the most relevant when identifying thermal triggers - pressure, humidity, wind, cloud coverage, etc.
Not sure how it could be used, but would be a nice way to determine how relevant each parameter is.
Idea taken from chapter 7 'Modeling with decision trees' of Programming Collective Intelligence.