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Journal of Applied Mathematics
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Journal of Applied Mathematics
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2012
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Article
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Tab 10
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Research Article
Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information
Table 10
The accuracy of random forests for the data set “Post Operative.”
Number of attr. to pick randomly (
R
)
Worst accuracy (%)
Median accuracy (%)
Best accuracy (%)
Number of trees in random forests resulting in the best accuracy (
T
)
8
60
61.1111
65.5556
100
4 (default)
60
61.1111
62.2222
200, 675, 725, 900, 925, 950, 975, 1000
2
61.1111
63.3333
64.4444
375, 625, 700, 725, 750, 775, 800, 825, 875
1
63.3333
65.5556
65.5556
200, 275, 300, 525, 550, 575, 650, 675, 700, 725, 950, 975, 1000