Changeset 9786:07adf5f12880 in orange


Ignore:
Timestamp:
02/06/12 17:56:03 (2 years ago)
Author:
Miha Stajdohar <miha.stajdohar@…>
Branch:
default
rebase_source:
b708bd6cb444f56ef2d97eeb8f9b1598fe9ef10d
Message:

New random.

Location:
Orange/testing/regression/results_ofb
Files:
8 edited

Legend:

Unmodified
Added
Removed
  • Orange/testing/regression/results_ofb/accuracy3.py.txt

    r9689 r9786  
    11Classification accuracies: 
    22bayes 0.93119266055 
    3 tree 0.876146788991 
     3tree 0.871559633028 
  • Orange/testing/regression/results_ofb/accuracy4.py.txt

    r9689 r9786  
    1 1: [0.90839694656488545, 0.9007633587786259] 
    2 2: [0.90839694656488545, 0.9007633587786259] 
    3 3: [0.90839694656488545, 0.9007633587786259] 
    4 4: [0.90839694656488545, 0.9007633587786259] 
    5 5: [0.90839694656488545, 0.9007633587786259] 
    6 6: [0.90839694656488545, 0.9007633587786259] 
    7 7: [0.90839694656488545, 0.9007633587786259] 
    8 8: [0.90839694656488545, 0.9007633587786259] 
    9 9: [0.90839694656488545, 0.9007633587786259] 
    10 10: [0.90839694656488545, 0.9007633587786259] 
     11: [0.9083969465648855, 0.9007633587786259] 
     22: [0.9083969465648855, 0.9007633587786259] 
     33: [0.9083969465648855, 0.9007633587786259] 
     44: [0.9083969465648855, 0.9007633587786259] 
     55: [0.9083969465648855, 0.9007633587786259] 
     66: [0.9083969465648855, 0.9007633587786259] 
     77: [0.9083969465648855, 0.9007633587786259] 
     88: [0.9083969465648855, 0.9007633587786259] 
     99: [0.9083969465648855, 0.9007633587786259] 
     1010: [0.9083969465648855, 0.9007633587786259] 
    1111Classification accuracies: 
    1212bayes 0.908396946565 
  • Orange/testing/regression/results_ofb/accuracy5.py.txt

    r9689 r9786  
    1 1: [0.88636363636363635, 0.93181818181818177] 
    2 2: [0.88636363636363635, 0.93181818181818177] 
    3 3: [0.88636363636363635, 0.93181818181818177] 
    4 4: [0.93181818181818177, 1.0] 
    5 5: [0.95454545454545459, 1.0] 
    6 6: [0.88372093023255816, 0.97674418604651159] 
    7 7: [0.93023255813953487, 0.95348837209302328] 
    8 8: [0.88372093023255816, 0.90697674418604646] 
    9 9: [0.88372093023255816, 1.0] 
    10 10: [0.90697674418604646, 0.90697674418604646] 
     11: [0.8863636363636364, 0.9318181818181818] 
     22: [0.8863636363636364, 0.9318181818181818] 
     33: [0.8863636363636364, 0.9318181818181818] 
     44: [0.9318181818181818, 1.0] 
     55: [0.9545454545454546, 1.0] 
     66: [0.8837209302325582, 0.9767441860465116] 
     77: [0.9302325581395349, 0.9534883720930233] 
     88: [0.8837209302325582, 0.9069767441860465] 
     99: [0.8837209302325582, 1.0] 
     1010: [0.9069767441860465, 0.9069767441860465] 
    1111Classification accuracies: 
    1212bayes 0.903382663848 
  • Orange/testing/regression/results_ofb/assoc2.py.txt

    r9689 r9786  
    115 most confident rules: 
    22conf    supp    lift    rule 
    3 1.000   0.585   1.015   drive-wheels=fwd -> engine-location=front 
    4 1.000   0.478   1.015   fuel-type=gas num-of-doors=four -> engine-location=front 
     31.000   0.478   1.015   fuel-type=gas aspiration=std drive-wheels=fwd -> engine-location=front 
     41.000   0.429   1.015   fuel-type=gas aspiration=std num-of-doors=four -> engine-location=front 
     51.000   0.507   1.015   aspiration=std drive-wheels=fwd -> engine-location=front 
    561.000   0.556   1.015   num-of-doors=four -> engine-location=front 
    6 1.000   0.541   1.015   fuel-type=gas drive-wheels=fwd -> engine-location=front 
    771.000   0.449   1.015   aspiration=std num-of-doors=four -> engine-location=front 
    88 
  • Orange/testing/regression/results_ofb/domain13.py.txt

    r9689 r9786  
    1 original: 0.940, new: 0.960 
     1original: 0.947, new: 0.960 
  • Orange/testing/regression/results_ofb/handful.py.txt

    r9689 r9786  
    66(democrat  )   0.386         0.995         0.011         0.048         
    77(democrat  )   0.386         0.002         0.015         0.000         
    8 (democrat  )   0.386         0.043         0.015         0.018         
    9 (democrat  )   0.386         0.228         0.015         0.192         
    10 (democrat  )   0.386         1.000         0.973         0.665         
     8(democrat  )   0.386         0.043         0.015         0.015         
     9(democrat  )   0.386         0.228         0.015         0.191         
     10(democrat  )   0.386         1.000         0.973         0.776         
    1111(republican)   0.386         1.000         0.973         0.861         
    1212(republican)   0.386         1.000         0.973         1.000         
  • Orange/testing/regression/results_ofb/regression3.py.txt

    r9689 r9786  
    11Learner        MSE 
    22default         84.777 
    3 regression tree 40.096 
     3regression tree 39.705 
    44k-NN (k=5)      17.532 
  • Orange/testing/regression/results_ofb/regression4.py.txt

    r9689 r9786  
    22maj      84.777  9.207  6.659  1.004  1.002  1.002 -0.004  
    33lr       23.729  4.871  3.413  0.281  0.530  0.513  0.719  
    4 rt       40.096  6.332  4.569  0.475  0.689  0.687  0.525  
     4rt       39.705  6.301  4.549  0.470  0.686  0.684  0.530  
    55knn      17.244  4.153  2.670  0.204  0.452  0.402  0.796  
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