Decision tree is the most powerful and popular tool for classification and prediction. A Decision tree is a flowchart like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) holds a class label.
- javac 1.8.0_121
- IntelliJ IDEA
Tree:
----------> Outlook
|
|
____________________ sunny ----------> Humidity
|
|
____________________ high ----------> no
|
|
____________________ normal ----------> yes
|
|
____________________ overcast ----------> yes
|
|
____________________ rain ----------> Windy
|
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____________________ false ----------> yes
|
|
____________________ true ----------> no
Rules:
Rule 1: IF Outlook=sunny AND Humidity=high THEN [Play Golf]=no
Rule 2: IF Outlook=sunny AND Humidity=normal THEN [Play Golf]=yes
Rule 3: IF Outlook=overcast THEN [Play Golf]=yes
Rule 4: IF Outlook=rain AND Windy=false THEN [Play Golf]=yes
Rule 5: IF Outlook=rain AND Windy=true THEN [Play Golf]=no
Extracted Features:
1- Outlook
2- Humidity
3- Windy
Input Processing:
Before input processed.
[ cool, sunny, normal, false, ? ]
After input processed.
[ cool, sunny, normal, false, yes ]
Finished!
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