On the previous page random forest...
Overview:
The aim of this test was to present a set of databases that were used to perform further tests. It contains also comparison between test set errors using various tree growth amgorithms.On each data set 25% instances was set as testing set. On remaining data forest algorithms were run three times, growing and combining 25 trees.
NOMINAL
- CAR DATABASE
Train:
Number of attributes: 6 + 1 class attribute
Number of instances: 1296
Number of classes: 4
- unacc: 918 instances
- acc: 282 instances
- vgood: 48 instances
- good: 48 instances
Test:
Number of attributes: 6 + 1 class attribute
Number of instances: 432
Number of classes: 4
- unacc: 292 instances
- acc: 102 instances
- vgood: 17 instances
- good: 21 instances
| 7.71605% | - random forest |
| 26.6204% | - random tree |
| 24.537% | - det. forest |
- NURSARY DATABASE
Train:
Number of attributes: 8 + 1 class attribute
Number of instances: 9720
Number of classes: 5
- priority: 3136 instances
- not_recom: 3240 instances
- recommend: 1 instances
- very_recom: 228 instances
- spec_prior: 3115 instances
Test:
Number of attributes: 8 + 1 class attribute
Number of instances: 3239
Number of classes: 5
- spec_prior: 928 instances
- priority: 1130 instances
- very_recom: 100 instances
- not_recom: 1080 instances
- recommend: 1 instances
| 10.9396% | - random forest |
| 22.9906% | - random tree |
| 14.0475% | - det. forest |
- AUDIOLOGY.STANDARDIZED DATABASE
Train:
Number of attributes: 70 + 1 class attribute
Number of instances: 200
Number of classes: 24
- cochlear_unknown: 48 instances
- mixed_cochlear_age_fixation: 1 instances
- mixed_cochlear_age_otitis_media: 4 instances
- cochlear_age: 46 instances
- normal_ear: 20 instances
- cochlear_poss_noise: 16 instances
- cochlear_age_and_noise: 18 instances
- acoustic_neuroma: 1 instances
- mixed_cochlear_unk_ser_om: 3 instances
- conductive_discontinuity: 2 instances
- retrocochlear_unknown: 2 instances
- conductive_fixation: 6 instances
- bells_palsy: 1 instances
- cochlear_noise_and_heredity: 2 instances
- mixed_cochlear_unk_fixation: 5 instancess
- mixed_poss_noise_om: 2 instances
- otitis_media: 4 instances
- possible_menieres: 8 instances
- possible_brainstem_disorder: 4 instances
- cochlear_age_plus_poss_menieres: 1 instances
- mixed_cochlear_age_s_om: 2 instances
- mixed_cochlear_unk_discontinuity: 2 instances
- mixed_poss_central_om: 1 instances
- poss_central: 1 instances
Test:
Number of attributes: 70 + 1 class attribute
Number of instances: 26
Number of classes: 6
- cochlear_age: 11 instances
- cochlear_age_and_noise: 4 instances
- cochlear_poss_noise: 4 instances
- mixed_cochlear_unk_fixation: 4 instances
- normal_ear: 2 instances
- mixed_cochlear_age_fixation: 1 instances
| 28.2051% | - random forest |
| 48.7179% | - random tree |
| 57.6923% | - det. forest |
- BREAST CANCER DATABASE (Missing attributes)
Train:
Number of attributes: 9 + 1 class attribute
Number of instances: 214
Number of classes: 2
- no-recurrence-events: 153 instances
- recurrence-events: 61 instances
Test:
Number of attributes: 9 + 1 class attribute
Number of instances: 71
Number of classes: 2
- no-recurrence-events: 48 instances
- recurrence-events: 23 instances
| 16.8582% | - random forest |
| 45.5399% | - random tree |
| 19.5077% | - det. forest |
CONTINUOUS
- BALANCE-SCALE DATABASE
Train:
Number of attributes: 4 + 1 class attribute
Number of instances: 469
Number of classes: 3
- B: 36 instances
- R: 212 instances
- L: 221 instances
Test:
Number of attributes: 4 + 1 class attribute
Number of instances: 156
Number of classes: 3
- L: 67 instances
- R: 76 instances
- B: 13 instances
| 18.1624% | - random forest |
| 30.5556% | - random tree |
| 24.359% | - det. forest |
| 16.0256% | - forest RC |
- IONOSPHERE DATABASE
Train:
Number of attributes: 34 + 1 class attribute
Number of instances: 264
Number of classes: 2
- g: 174 instances
- b: 90 instances
Test:
Number of attributes: 34 + 1 class attribute
Number of instances: 87
Number of classes: 2
- g: 51 instances
- b: 36 instances
| 16,8582% | - random forest |
| 24.9042% | - random tree |
| 18,0077% | - det. forest |
| 16,8582% | - forest RC |
On the next page extended tests...