Comments (4)
vivekaxl
commented on July 20, 2024
Wins
lrzip ( 433 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 25.50 , 18.00 ( -* | ), 17.00, 26.00, 35.00
2 , random-progressive , 89.00 , 36.00 ( ----|* ), 67.00, 91.00, 103.00
3 , sarkar-projective , 168.00 , 0.00 ( | *), 168.00, 168.00, 168.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc-3d-c4_obj2 ( 756 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 28.50 , 24.00 ( * | ), 21.00, 29.00, 45.00
2 , sarkar-projective , 84.00 , 0.00 ( * | ), 84.00, 84.00, 84.00
3 , random-progressive , 301.00 , 0.00 ( | *), 301.00, 301.00, 301.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
HSMGP_num ( 3457 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 29.00 , 41.00 (-* | ), 17.00, 32.00, 58.00
2 , sarkar-projective , 402.00 , 0.00 ( | * ), 402.00, 402.00, 402.00
3 , random-progressive , 449.00 , 68.00 ( | --* ), 423.00, 457.00, 491.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , random-progressive , 0.50 , 2.00 (* | ), 0.00, 1.00, 2.00
1 , dumb , 1.00 , 4.00 (* | ), 0.00, 1.00, 4.00
Dune ( 2305 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 36.50 , 29.00 ( --* | ), 25.00, 37.00, 54.00
2 , random-progressive , 110.00 , 51.00 ( -|---* ), 91.00, 116.00, 142.00
3 , sarkar-projective , 132.00 , 0.00 ( | * ), 132.00, 132.00, 132.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 1.00 , 2.00 (* | ), 0.00, 1.00, 2.00
1 , sarkar-projective , 2.00 , 9.00 (* | ), 1.00, 2.00, 10.00
1 , dumb , 3.50 , 13.00 (-* | ), 1.00, 4.00, 14.00
wc+wc-3d-c4-obj1 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 22.00 , 17.00 ( -* | ), 18.00, 23.00, 35.00
2 , sarkar-projective , 74.00 , 0.00 ( | * ), 74.00, 74.00, 74.00
2 , random-progressive , 77.00 , 12.00 ( | ----*), 65.00, 77.00, 77.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc+wc-3d-c4-obj2 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 21.00 , 17.00 ( --* | ), 17.00, 21.00, 34.00
2 , sarkar-projective , 34.00 , 0.00 ( * | ), 34.00, 34.00, 34.00
3 , random-progressive , 77.00 , 0.00 ( | *), 77.00, 77.00, 77.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc-6d-c1-obj2 ( 2880 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 46.50 , 30.00 ( -* | ), 33.00, 50.00, 63.00
2 , sarkar-projective , 124.00 , 0.00 ( * | ), 124.00, 124.00, 124.00
3 , random-progressive , 344.00 , 108.00 ( | --* ), 323.00, 351.00, 431.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , dumb , 1.00 , 3.00 (* | ), 0.00, 1.00, 3.00
1 , sarkar-projective , 1.00 , 2.00 (* | ), 0.00, 1.00, 2.00
wc-6d-c1-obj1 ( 2880 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 32.50 , 29.00 (-* | ), 21.00, 34.00, 50.00
2 , random-progressive , 407.00 , 86.00 ( |-* ), 364.00, 415.00, 450.00
3 , sarkar-projective , 706.00 , 0.00 ( | *), 706.00, 706.00, 706.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , dumb , 2.00 , 5.00 (* | ), 0.00, 2.00, 5.00
rs-6d-c3_obj2 ( 3840 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 24.00 , 22.00 (* | ), 19.00, 25.00, 41.00
2 , random-progressive , 679.50 , 124.00 ( | -* ), 635.00, 685.00, 759.00
2 , sarkar-projective , 808.00 , 0.00 ( | * ), 808.00, 808.00, 808.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 8.00 (* | ), 0.00, 0.00, 8.00
1 , sarkar-projective , 1.00 , 3.00 (* | ), 0.00, 1.00, 3.00
1 , random-progressive , 1.00 , 2.00 (* | ), 0.00, 1.00, 2.00
wc+sol-3d-c4-obj2 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 19.00 , 17.00 ( -* | ), 17.00, 19.00, 34.00
1 , sarkar-projective , 33.00 , 0.00 ( * | ), 33.00, 33.00, 33.00
2 , random-progressive , 77.00 , 0.00 ( | *), 77.00, 77.00, 77.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc+sol-3d-c4-obj1 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 23.00 , 14.00 ( --* | ), 18.00, 24.00, 32.00
2 , sarkar-projective , 75.00 , 0.00 ( | *), 75.00, 75.00, 75.00
2 , random-progressive , 77.00 , 8.00 ( | ---*), 69.00, 77.00, 77.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc+rs-3d-c4-obj1 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 28.00 , 21.00 ( ----* | ), 17.00, 28.00, 38.00
2 , random-progressive , 58.50 , 28.00 ( | -------* ), 45.00, 62.00, 73.00
3 , sarkar-projective , 76.00 , 0.00 ( | *), 76.00, 76.00, 76.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
wc+rs-3d-c4-obj2 ( 196 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 20.50 , 16.00 ( ---* | ), 15.00, 21.00, 31.00
2 , sarkar-projective , 38.00 , 0.00 ( *| ), 38.00, 38.00, 38.00
3 , random-progressive , 77.00 , 0.00 ( | *), 77.00, 77.00, 77.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
sort_256_obj2 ( 206 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 25.00 , 18.00 ( --* | ), 21.00, 25.00, 39.00
1 , random-progressive , 28.00 , 20.00 ( ---* | ), 22.00, 30.00, 42.00
2 , sarkar-projective , 45.00 , 0.00 ( | * ), 45.00, 45.00, 45.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
sol-6d-c2-obj1 ( 2866 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 31.50 , 20.00 (* | ), 22.00, 33.00, 42.00
2 , sarkar-projective , 105.00 , 0.00 ( * | ), 105.00, 105.00, 105.00
3 , random-progressive , 1145.00 , 0.00 ( | *), 1145.00, 1145.00, 1145.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 2.50 , 12.00 (* | ), 1.00, 3.00, 13.00
1 , random-progressive , 3.00 , 4.00 (* | ), 2.00, 3.00, 6.00
1 , dumb , 3.50 , 6.00 (* | ), 2.00, 4.00, 8.00
from reimplement.
vivekaxl
commented on July 20, 2024
(Not so much) Wins
BDBC_AllMeasurements ( 2561 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 35.00 , 37.00 ( --* | ), 25.00, 36.00, 62.00
1 , random-progressive , 44.50 , 9.00 ( * | ), 42.00, 45.00, 51.00
2 , sarkar-projective , 203.00 , 0.00 ( | *), 203.00, 203.00, 203.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
2 , dumb , 1.00 , 6.00 (* | ), 0.00, 1.00, 6.00
2 , random-progressive , 2.00 , 18.00 (-* | ), 1.00, 2.00, 19.00
rs-6d-c3_obj1 ( 3840 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 25.00 , 26.00 (* | ), 16.00, 27.00, 42.00
2 , sarkar-projective , 452.00 , 0.00 ( * | ), 452.00, 452.00, 452.00
3 , random-progressive , 653.50 , 308.00 ( ----* | ), 505.00, 680.00, 813.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , random-progressive , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
2 , dumb , 2.00 , 24.00 (* | ), 0.00, 3.00, 24.00
sol-6d-c2-obj2 ( 2862 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 26.00 , 20.00 (* | ), 21.00, 29.00, 41.00
2 , sarkar-projective , 323.00 , 0.00 ( * | ), 323.00, 323.00, 323.00
3 , random-progressive , 1143.00 , 0.00 ( | *), 1143.00, 1143.00, 1143.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
2 , dumb , 5.00 , 19.00 (-* | ), 1.00, 5.00, 20.00
from reimplement.
vivekaxl
commented on July 20, 2024
Fails
SQL_AllMeasurements ( 4654 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 10.00 , 0.00 ( * | ), 10.00, 10.00, 10.00
2 , dumb , 30.00 , 22.00 ( -----* | ), 21.00, 33.00, 43.00
3 , sarkar-projective , 48.00 , 0.00 ( | * ), 48.00, 48.00, 48.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 9.00 , 17.00 (* | ), 1.00, 10.00, 18.00
2 , sarkar-projective , 14.50 , 139.00 (* | ), 1.00, 15.00, 140.00
2 , dumb , 20.00 , 40.00 (* | ), 3.00, 21.00, 43.00
X264_AllMeasurements ( 1153 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 12.50 , 5.00 ( -* | ), 10.00, 13.00, 15.00
2 , dumb , 28.00 , 32.00 ( -* | ), 23.00, 29.00, 55.00
3 , sarkar-projective , 159.00 , 0.00 ( | *), 159.00, 159.00, 159.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
2 , dumb , 1.50 , 8.00 (---* | ), 0.00, 2.00, 8.00
Apache_AllMeasurements ( 192 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 16.00 , 8.00 ( --* | ), 12.00, 17.00, 20.00
2 , dumb , 24.50 , 9.00 ( -* | ), 21.00, 25.00, 30.00
3 , sarkar-projective , 45.00 , 0.00 ( | * ), 45.00, 45.00, 45.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , dumb , 0.00 , 0.00 (* | ), 0.00, 0.00, 0.00
1 , sarkar-projective , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
1 , random-progressive , 0.00 , 1.00 (* | ), 0.00, 0.00, 1.00
WGet ( 189 )
Training Set Size
rank , name , med , iqr
----------------------------------------------------
1 , random-progressive , 13.50 , 11.00 ( -* | ), 11.00, 14.00, 22.00
1 , sarkar-projective , 18.00 , 0.00 ( * | ), 18.00, 18.00, 18.00
2 , dumb , 28.00 , 23.00 ( ----* | ), 19.00, 28.00, 42.00
Minimum Rank Found
rank , name , med , iqr
----------------------------------------------------
1 , sarkar-projective , 1.00 , 4.00 (-* | ), 0.00, 1.00, 4.00
1 , random-progressive , 1.00 , 3.00 (-* | ), 0.00, 1.00, 3.00
1 , dumb , 2.00 , 4.00 (---* | ), 0.00, 2.00, 4.00
from reimplement.
timm
commented on July 20, 2024
Looks interesting. But can i see results in terms of the following?
from reimplement.
Related Issues (20)
- How does WHAT performs when compared to Random Sampling (Guo) HOT 2
- z-score normalization HOT 1
- add feature weighting HOT 2
- add active learning HOT 2
- look at pca components and do predictions
- minmax normalization HOT 1
- Compare z-score with minmax HOT 1
- add random progressive sampling
- Try Hierarchical clustering
- Try K-Means
- Does Accurate Model even required? HOT 5
- Stats test to show how different it is from random sampling
- Active Learning Make it progressive
- Active Learning vs Random Sampling
- Use Median Rank rather than minimum rank
- Compare with old results
- Comparing Dumb Learner with random progressive sampling HOT 6
- Related Work
- Confusion about policies.py
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from reimplement.