Displaying 3 results from an estimated 3 matches for "dontplay".
2006 Apr 17
0
Problem getting R's decision tree for Quinlan's golf exam ple data [Broadcast]
...11) Humidity< 75 2 1 rain (0.0000000 0.5000000 0.5000000)
22) Temperature< 67 1 0 rain (0.0000000 1.0000000 0.0000000) *
23) Temperature>=67 1 0 sunny (0.0000000 0.0000000 1.0000000) *
3) Temperature>=71.5 8 4 sunny (0.3750000 0.1250000 0.5000000)
6) PlayDontPlay=Play 5 2 overcast (0.6000000 0.2000000 0.2000000)
12) Humidity>=72.5 4 1 overcast (0.7500000 0.2500000 0.0000000)
24) Temperature>=78 2 0 overcast (1.0000000 0.0000000 0.0000000) *
25) Temperature< 78 2 1 overcast (0.5000000 0.5000000 0.0000000)
50) Te...
2006 Apr 16
0
Problem getting R's decision tree for Quinlan's golf example data
Newbie question, but I've checked archives etc. Am trying to reproduce
in R Quinlan's trivial example of the "golf" decision tree. The data file
of 14 examples follows (read in via read.table()):
Outlook Temperature Humidity Windy PlayDontPlay
1 sunny 85 85 false DontPlay
2 sunny 80 90 true DontPlay
3 overcast 83 78 false Play
4 rain 70 96 false Play
5 rain 68 80 false Play
6 rain 65 70 true DontPlay
7 overcast 64 65 true Play
8 sunny 72 95 false DontPlay
9 sunny 69 70 false Play
10 rain 75 80 false Play
11 sunny 75 70 true Play
12 overc...
2010 Oct 22
1
question about decision trees
Hi, I have seen that R has a implementation of decision trees; however,
after I have the tree with the classification:
R Quinlan's trivial example of the "golf" decision tree.
Outlook Temperature Humidity Windy PlayDontPlay 1 sunny 85 85 false
DontPlay
2 sunny 80 90 true DontPlay
3 overcast 83 78 false Play
4 rain 70 96 false Play
...
What's next? I mean, what is this information used for? or the goal is just
to get this classification.
I hope someone can help me and explain me,
Thank you.
Fátima
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