Research Article

Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information

Table 7

The accuracy of trial random forests (RF) for each class with different parameters.

Bridges( , )( , : def.)( , )

Accuracy per class
 10%0%0%
 20%100%100%
 30%0%27.3%
 4100%100%93.2%
 50%15.4%23%
 60%0%0%
 70%50%60%
Accuracy of RF41.5094%63.2075%65.0943%

Dermatology  ( , )( , : def.)( , )

Accuracy per class
 197.3%100%100%
 277%85.2%85.2%
 397.2%100%100%
 487.8%87.8%87.8%
 590.4%100%100%
 685.0%95.0%100%
Accuracy of RF90.9836%95.6284%96.4881%

Post Operative( , )( , : def.)( , )

Accuracy per class
 10%0%0%
 226.7%4.2%0%
 358.1%85.9%92.2%
Accuracy of RF52.2222%62.2222%65.5556%