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On the previous page basic tests...

Overview:

The further tests on implemented forest algorithms. All of these graphs were made using following databases:

  • Car database
  • Balance-scale database
  • Ionosphere database

For more informations about used databases read the documentation or basic tests.
There were used following algorithms:

  • Random forest (RI)
  • Det. forest
  • Forest RC

On each data set test function where run three times and the results were combined.

Test set errors:

Test set errors as a function of number of trees in forest.

random forest 1random forest 2
random forest 3

Train set errors:

Train set errors as a function of number of trees in forest.

random forest 4random forest 5
random forest 6

Noise:

Increases in error rates due to noise.

random forest 7random forest 8
random forest 9

Stability:

The rate of instances classified to different class using forests grown with the same input parametres.

random forest 10random forest 11
random forest 12

Overview | Test | Train | Noise | Stability

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