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experiments/fractal: run 2 results — BEST-G fails (significance favours the coarsest level)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
7aedd3c2a6a39f1a22388788ced55cf349ee28ad
by plankatron <fleeky@gmail.com> · 2026-10-18T20:22:55.000Z

Changed files (14) +986 -0

experiments/fractal/RESULTS.md +17 -0
……@@ -30,3 +30,20 @@ the code) by `summarize.py`; full output in `results/1792353740/summary.txt`.
3030
3131Graded connectors **as implemented here** (finest-first backoff, three-tier ranking) do not show that
3232multi-scale connectors make the search substantially better. The combination rule is the likely weak point.
33
34---
35
36## Run 2 — BEST-G (most significant level), `results/1792354961`, PREREG-2 (`4fb9add`)
37
38| | prediction | verdict |
39|---|---|---|
40| F1′ | BEST-G parses better than any single level | **FAIL**, badly: 0.603 / 0.593 / 0.592 vs the class level's 0.705 / 0.734 / 0.735 |
41| F3′ | graded order beats frequency order at 1K | **FAIL** (−0.046, −0.006, −0.005) |
42| F4′ | multi-scale parse beats class-only parse for ranking | **FAIL** at 10K (+0.029 at 3K, −0.004 at 10K) |
43| F5′ | random hierarchy gives no gain | **FAIL** (+0.016, +0.005 at 10K/30K) |
44
45**Why:** the G statistic grows with sample size, and the coarsest level (bare parts of speech) has by far the
46largest counts, so "most significant" picks the coarsest level almost always — the parse drifts toward the
47part-of-speech level (0.51). A significance statistic is not a fair way to compare evidence across levels of
48different coarseness. Both pre-registered combination rules (finest-first, most-significant) failed; no
49further rule is tried in this run, as pre-registered.
experiments/fractal/results/1792354961/commit.txt +1 -0
……@@ -0,0 +1 @@
1862a53511d626f77156d43cab385ae98e2c97783
experiments/fractal/results/1792354961/seed-1.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 1 3000 W 0.14961 0.48373 0.08849
2P 1 3000 G 0.70421 0.70986 0.69865
3P 1 3000 S1 0.67100 0.67499 0.66706
4P 1 3000 S2 0.51381 0.51381 0.51381
5P 1 3000 BACKOFF 0.71302 0.71302 0.71302
6P 1 3000 BEST-G 0.61159 0.61159 0.61159
7R 1 3000 C-G 300 0.71503 10644
8R 1 3000 C-G 1000 0.86632 10644
9R 1 3000 C-G 3000 0.94756 10644
10R 1 3000 C-G 10000 0.98031 10644
11R 1 3000 C-G -1 0.98093 10644
12R 1 3000 HARD 300 0.66839 2112
13R 1 3000 HARD 1000 0.76290 2112
14R 1 3000 HARD 3000 0.80249 2112
15R 1 3000 HARD 10000 0.80249 2112
16R 1 3000 HARD -1 0.80249 2112
17R 1 3000 GRADED 300 0.75440 10644
18R 1 3000 GRADED 1000 0.83855 10644
19R 1 3000 GRADED 3000 0.86259 10644
20R 1 3000 GRADED 10000 0.98093 10644
21R 1 3000 GRADED -1 0.98093 10644
22R 1 3000 GRADED-G 300 0.69720 10644
23R 1 3000 GRADED-G 1000 0.78922 10644
24R 1 3000 GRADED-G 3000 0.81741 10644
25R 1 3000 GRADED-G 10000 0.98093 10644
26R 1 3000 GRADED-G -1 0.98093 10644
27R 1 3000 GRADED-R 300 0.71275 10644
28R 1 3000 GRADED-R 1000 0.83109 10644
29R 1 3000 GRADED-R 3000 0.91731 10644
30R 1 3000 GRADED-R 10000 0.98073 10644
31R 1 3000 GRADED-R -1 0.98093 10644
32P 1 10000 W 0.26366 0.50178 0.17881
33P 1 10000 G 0.72903 0.73036 0.72770
34P 1 10000 S1 0.67176 0.67394 0.66960
35P 1 10000 S2 0.51310 0.51310 0.51310
36P 1 10000 BACKOFF 0.71111 0.71111 0.71111
37P 1 10000 BEST-G 0.58643 0.58643 0.58643
38R 1 10000 C-G 300 0.70466 17415
39R 1 10000 C-G 1000 0.85886 17415
40R 1 10000 C-G 3000 0.95275 17415
41R 1 10000 C-G 10000 0.98694 17415
42R 1 10000 C-G -1 0.99565 17415
43R 1 10000 HARD 300 0.71026 3625
44R 1 10000 HARD 1000 0.83088 3625
45R 1 10000 HARD 3000 0.88435 3625
46R 1 10000 HARD 10000 0.88705 3625
47R 1 10000 HARD -1 0.88705 3625
48R 1 10000 GRADED 300 0.74964 17415
49R 1 10000 GRADED 1000 0.85181 17415
50R 1 10000 GRADED 3000 0.87772 17415
51R 1 10000 GRADED 10000 0.89409 17415
52R 1 10000 GRADED -1 0.99565 17415
53R 1 10000 GRADED-G 300 0.74860 17415
54R 1 10000 GRADED-G 1000 0.85451 17415
55R 1 10000 GRADED-G 3000 0.88352 17415
56R 1 10000 GRADED-G 10000 0.98321 17415
57R 1 10000 GRADED-G -1 0.99565 17415
58R 1 10000 GRADED-R 300 0.70466 17415
59R 1 10000 GRADED-R 1000 0.87834 17415
60R 1 10000 GRADED-R 3000 0.94736 17415
61R 1 10000 GRADED-R 10000 0.98715 17415
62R 1 10000 GRADED-R -1 0.99565 17415
63P 1 30000 W 0.37422 0.52270 0.29143
64P 1 30000 G 0.73022 0.73156 0.72889
65P 1 30000 S1 0.66651 0.66866 0.66437
66P 1 30000 S2 0.51349 0.51349 0.51349
67P 1 30000 BACKOFF 0.71056 0.71056 0.71056
68P 1 30000 BEST-G 0.58825 0.58825 0.58825
69R 1 30000 C-G 300 0.69347 23862
70R 1 30000 C-G 1000 0.85720 23862
71R 1 30000 C-G 3000 0.95668 23862
72R 1 30000 C-G 10000 0.98736 23862
73R 1 30000 C-G -1 0.99959 23862
74R 1 30000 HARD 300 0.70611 5254
75R 1 30000 HARD 1000 0.84207 5254
76R 1 30000 HARD 3000 0.88870 5254
77R 1 30000 HARD 10000 0.90010 5254
78R 1 30000 HARD -1 0.90010 5254
79R 1 30000 GRADED 300 0.75275 23862
80R 1 30000 GRADED 1000 0.84788 23862
81R 1 30000 GRADED 3000 0.88995 23862
82R 1 30000 GRADED 10000 0.90321 23862
83R 1 30000 GRADED -1 0.99959 23862
84R 1 30000 GRADED-G 300 0.74860 23862
85R 1 30000 GRADED-G 1000 0.85098 23862
86R 1 30000 GRADED-G 3000 0.89202 23862
87R 1 30000 GRADED-G 10000 0.90943 23862
88R 1 30000 GRADED-G -1 0.99959 23862
89R 1 30000 GRADED-R 300 0.69347 23862
90R 1 30000 GRADED-R 1000 0.86031 23862
91R 1 30000 GRADED-R 3000 0.95896 23862
92R 1 30000 GRADED-R 10000 0.98715 23862
93R 1 30000 GRADED-R -1 0.99959 23862
experiments/fractal/results/1792354961/seed-10.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 10 3000 W 0.16146 0.49347 0.09652
2P 10 3000 G 0.70595 0.70802 0.70389
3P 10 3000 S1 0.65674 0.65914 0.65436
4P 10 3000 S2 0.51324 0.51324 0.51324
5P 10 3000 BACKOFF 0.69791 0.69791 0.69791
6P 10 3000 BEST-G 0.60298 0.60298 0.60298
7R 10 3000 C-G 300 0.72255 10496
8R 10 3000 C-G 1000 0.85212 10496
9R 10 3000 C-G 3000 0.94676 10496
10R 10 3000 C-G 10000 0.97816 10496
11R 10 3000 C-G -1 0.98003 10496
12R 10 3000 HARD 300 0.64809 2055
13R 10 3000 HARD 1000 0.74418 2055
14R 10 3000 HARD 3000 0.77641 2055
15R 10 3000 HARD 10000 0.77641 2055
16R 10 3000 HARD -1 0.77641 2055
17R 10 3000 GRADED 300 0.70944 10496
18R 10 3000 GRADED 1000 0.79638 10496
19R 10 3000 GRADED 3000 0.82342 10496
20R 10 3000 GRADED 10000 0.97920 10496
21R 10 3000 GRADED -1 0.98003 10496
22R 10 3000 GRADED-G 300 0.67325 10496
23R 10 3000 GRADED-G 1000 0.76498 10496
24R 10 3000 GRADED-G 3000 0.80553 10496
25R 10 3000 GRADED-G 10000 0.97941 10496
26R 10 3000 GRADED-G -1 0.98003 10496
27R 10 3000 GRADED-R 300 0.72504 10496
28R 10 3000 GRADED-R 1000 0.87396 10496
29R 10 3000 GRADED-R 3000 0.94405 10496
30R 10 3000 GRADED-R 10000 0.97899 10496
31R 10 3000 GRADED-R -1 0.98003 10496
32P 10 10000 W 0.27641 0.52287 0.18786
33P 10 10000 G 0.72493 0.72626 0.72360
34P 10 10000 S1 0.66011 0.66180 0.65842
35P 10 10000 S2 0.50933 0.50933 0.50933
36P 10 10000 BACKOFF 0.69935 0.69935 0.69935
37P 10 10000 BEST-G 0.58783 0.58783 0.58783
38R 10 10000 C-G 300 0.71880 17287
39R 10 10000 C-G 1000 0.85129 17287
40R 10 10000 C-G 3000 0.95216 17287
41R 10 10000 C-G 10000 0.98357 17287
42R 10 10000 C-G -1 0.99418 17287
43R 10 10000 HARD 300 0.70778 3654
44R 10 10000 HARD 1000 0.83195 3654
45R 10 10000 HARD 3000 0.88644 3654
46R 10 10000 HARD 10000 0.88894 3654
47R 10 10000 HARD -1 0.88894 3654
48R 10 10000 GRADED 300 0.74418 17287
49R 10 10000 GRADED 1000 0.85753 17287
50R 10 10000 GRADED 3000 0.87978 17287
51R 10 10000 GRADED 10000 0.89601 17287
52R 10 10000 GRADED -1 0.99418 17287
53R 10 10000 GRADED-G 300 0.74938 17287
54R 10 10000 GRADED-G 1000 0.86148 17287
55R 10 10000 GRADED-G 3000 0.88686 17287
56R 10 10000 GRADED-G 10000 0.97920 17287
57R 10 10000 GRADED-G -1 0.99418 17287
58R 10 10000 GRADED-R 300 0.71880 17287
59R 10 10000 GRADED-R 1000 0.87022 17287
60R 10 10000 GRADED-R 3000 0.94925 17287
61R 10 10000 GRADED-R 10000 0.98399 17287
62R 10 10000 GRADED-R -1 0.99418 17287
63P 10 30000 W 0.37988 0.53180 0.29547
64P 10 30000 G 0.72892 0.73026 0.72758
65P 10 30000 S1 0.65835 0.66004 0.65667
66P 10 30000 S2 0.50120 0.50120 0.50120
67P 10 30000 BACKOFF 0.70740 0.70740 0.70740
68P 10 30000 BEST-G 0.59182 0.59182 0.59182
69R 10 30000 C-G 300 0.70611 23686
70R 10 30000 C-G 1000 0.84838 23686
71R 10 30000 C-G 3000 0.95300 23686
72R 10 30000 C-G 10000 0.98565 23686
73R 10 30000 C-G -1 0.99834 23686
74R 10 30000 HARD 300 0.71007 5184
75R 10 30000 HARD 1000 0.82862 5184
76R 10 30000 HARD 3000 0.88769 5184
77R 10 30000 HARD 10000 0.90391 5184
78R 10 30000 HARD -1 0.90391 5184
79R 10 30000 GRADED 300 0.74418 23686
80R 10 30000 GRADED 1000 0.84983 23686
81R 10 30000 GRADED 3000 0.88956 23686
82R 10 30000 GRADED 10000 0.90058 23686
83R 10 30000 GRADED -1 0.99834 23686
84R 10 30000 GRADED-G 300 0.74792 23686
85R 10 30000 GRADED-G 1000 0.85691 23686
86R 10 30000 GRADED-G 3000 0.89580 23686
87R 10 30000 GRADED-G 10000 0.91223 23686
88R 10 30000 GRADED-G -1 0.99834 23686
89R 10 30000 GRADED-R 300 0.70611 23686
90R 10 30000 GRADED-R 1000 0.84838 23686
91R 10 30000 GRADED-R 3000 0.95528 23686
92R 10 30000 GRADED-R 10000 0.98648 23686
93R 10 30000 GRADED-R -1 0.99834 23686
experiments/fractal/results/1792354961/seed-2.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 2 3000 W 0.16166 0.49609 0.09656
2P 2 3000 G 0.69330 0.69731 0.68933
3P 2 3000 S1 0.65694 0.65933 0.65458
4P 2 3000 S2 0.51317 0.51317 0.51317
5P 2 3000 BACKOFF 0.69349 0.69349 0.69349
6P 2 3000 BEST-G 0.59356 0.59356 0.59356
7R 2 3000 C-G 300 0.72705 10659
8R 2 3000 C-G 1000 0.83943 10659
9R 2 3000 C-G 3000 0.93685 10659
10R 2 3000 C-G 10000 0.97424 10659
11R 2 3000 C-G -1 0.97653 10659
12R 2 3000 HARD 300 0.67075 2107
13R 2 3000 HARD 1000 0.77815 2107
14R 2 3000 HARD 3000 0.80910 2107
15R 2 3000 HARD 10000 0.80910 2107
16R 2 3000 HARD -1 0.80910 2107
17R 2 3000 GRADED 300 0.73432 10659
18R 2 3000 GRADED 1000 0.81928 10659
19R 2 3000 GRADED 3000 0.85127 10659
20R 2 3000 GRADED 10000 0.97570 10659
21R 2 3000 GRADED -1 0.97653 10659
22R 2 3000 GRADED-G 300 0.69443 10659
23R 2 3000 GRADED-G 1000 0.79290 10659
24R 2 3000 GRADED-G 3000 0.81678 10659
25R 2 3000 GRADED-G 10000 0.97570 10659
26R 2 3000 GRADED-G -1 0.97653 10659
27R 2 3000 GRADED-R 300 0.71645 10659
28R 2 3000 GRADED-R 1000 0.79830 10659
29R 2 3000 GRADED-R 3000 0.89302 10659
30R 2 3000 GRADED-R 10000 0.97486 10659
31R 2 3000 GRADED-R -1 0.97653 10659
32P 2 10000 W 0.26885 0.50609 0.18304
33P 2 10000 G 0.72498 0.72629 0.72368
34P 2 10000 S1 0.66602 0.66763 0.66442
35P 2 10000 S2 0.50212 0.50212 0.50212
36P 2 10000 BACKOFF 0.70734 0.70734 0.70734
37P 2 10000 BEST-G 0.59036 0.59036 0.59036
38R 2 10000 C-G 300 0.71624 17440
39R 2 10000 C-G 1000 0.83797 17440
40R 2 10000 C-G 3000 0.94142 17440
41R 2 10000 C-G 10000 0.98193 17440
42R 2 10000 C-G -1 0.99460 17440
43R 2 10000 HARD 300 0.69942 3593
44R 2 10000 HARD 1000 0.81803 3593
45R 2 10000 HARD 3000 0.87703 3593
46R 2 10000 HARD 10000 0.88056 3593
47R 2 10000 HARD -1 0.88056 3593
48R 2 10000 GRADED 300 0.73349 17440
49R 2 10000 GRADED 1000 0.83423 17440
50R 2 10000 GRADED 3000 0.87495 17440
51R 2 10000 GRADED 10000 0.89302 17440
52R 2 10000 GRADED -1 0.99460 17440
53R 2 10000 GRADED-G 300 0.73099 17440
54R 2 10000 GRADED-G 1000 0.84171 17440
55R 2 10000 GRADED-G 3000 0.87661 17440
56R 2 10000 GRADED-G 10000 0.97424 17440
57R 2 10000 GRADED-G -1 0.99460 17440
58R 2 10000 GRADED-R 300 0.71624 17440
59R 2 10000 GRADED-R 1000 0.86020 17440
60R 2 10000 GRADED-R 3000 0.93103 17440
61R 2 10000 GRADED-R 10000 0.98442 17440
62R 2 10000 GRADED-R -1 0.99460 17440
63P 2 30000 W 0.38086 0.53077 0.29698
64P 2 30000 G 0.73453 0.73586 0.73321
65P 2 30000 S1 0.67261 0.67423 0.67099
66P 2 30000 S2 0.50420 0.50420 0.50420
67P 2 30000 BACKOFF 0.71247 0.71247 0.71247
68P 2 30000 BEST-G 0.58820 0.58820 0.58820
69R 2 30000 C-G 300 0.70129 23976
70R 2 30000 C-G 1000 0.83278 23976
71R 2 30000 C-G 3000 0.94246 23976
72R 2 30000 C-G 10000 0.98400 23976
73R 2 30000 C-G -1 0.99958 23976
74R 2 30000 HARD 300 0.67865 5229
75R 2 30000 HARD 1000 0.82219 5229
76R 2 30000 HARD 3000 0.87391 5229
77R 2 30000 HARD 10000 0.89676 5229
78R 2 30000 HARD -1 0.89676 5229
79R 2 30000 GRADED 300 0.73349 23976
80R 2 30000 GRADED 1000 0.83797 23976
81R 2 30000 GRADED 3000 0.88118 23976
82R 2 30000 GRADED 10000 0.89614 23976
83R 2 30000 GRADED -1 0.99958 23976
84R 2 30000 GRADED-G 300 0.72518 23976
85R 2 30000 GRADED-G 1000 0.83673 23976
86R 2 30000 GRADED-G 3000 0.88658 23976
87R 2 30000 GRADED-G 10000 0.90798 23976
88R 2 30000 GRADED-G -1 0.99958 23976
89R 2 30000 GRADED-R 300 0.70129 23976
90R 2 30000 GRADED-R 1000 0.83465 23976
91R 2 30000 GRADED-R 3000 0.94537 23976
92R 2 30000 GRADED-R 10000 0.98629 23976
93R 2 30000 GRADED-R -1 0.99958 23976
experiments/fractal/results/1792354961/seed-3.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 3 3000 W 0.15552 0.49413 0.09228
2P 3 3000 G 0.70371 0.70581 0.70162
3P 3 3000 S1 0.66509 0.66691 0.66328
4P 3 3000 S2 0.51828 0.51828 0.51828
5P 3 3000 BACKOFF 0.69082 0.69082 0.69082
6P 3 3000 BEST-G 0.59537 0.59537 0.59537
7R 3 3000 C-G 300 0.72159 10526
8R 3 3000 C-G 1000 0.87617 10526
9R 3 3000 C-G 3000 0.94423 10526
10R 3 3000 C-G 10000 0.97774 10526
11R 3 3000 C-G -1 0.97943 10526
12R 3 3000 HARD 300 0.67154 2062
13R 3 3000 HARD 1000 0.75657 2062
14R 3 3000 HARD 3000 0.78520 2062
15R 3 3000 HARD 10000 0.78520 2062
16R 3 3000 HARD -1 0.78520 2062
17R 3 3000 GRADED 300 0.74385 10526
18R 3 3000 GRADED 1000 0.82125 10526
19R 3 3000 GRADED 3000 0.85687 10526
20R 3 3000 GRADED 10000 0.97922 10526
21R 3 3000 GRADED -1 0.97943 10526
22R 3 3000 GRADED-G 300 0.69084 10526
23R 3 3000 GRADED-G 1000 0.77248 10526
24R 3 3000 GRADED-G 3000 0.81170 10526
25R 3 3000 GRADED-G 10000 0.97901 10526
26R 3 3000 GRADED-G -1 0.97943 10526
27R 3 3000 GRADED-R 300 0.69254 10526
28R 3 3000 GRADED-R 1000 0.75997 10526
29R 3 3000 GRADED-R 3000 0.94105 10526
30R 3 3000 GRADED-R 10000 0.97795 10526
31R 3 3000 GRADED-R -1 0.97943 10526
32P 3 10000 W 0.27664 0.52233 0.18814
33P 3 10000 G 0.74009 0.74136 0.73883
34P 3 10000 S1 0.67771 0.67923 0.67620
35P 3 10000 S2 0.51072 0.51072 0.51072
36P 3 10000 BACKOFF 0.72226 0.72226 0.72226
37P 3 10000 BEST-G 0.60601 0.60601 0.60601
38R 3 10000 C-G 300 0.71459 17331
39R 3 10000 C-G 1000 0.86302 17331
40R 3 10000 C-G 3000 0.95271 17331
41R 3 10000 C-G 10000 0.98304 17331
42R 3 10000 C-G -1 0.99406 17331
43R 3 10000 HARD 300 0.72180 3536
44R 3 10000 HARD 1000 0.82570 3536
45R 3 10000 HARD 3000 0.87468 3536
46R 3 10000 HARD 10000 0.87617 3536
47R 3 10000 HARD -1 0.87617 3536
48R 3 10000 GRADED 300 0.75763 17331
49R 3 10000 GRADED 1000 0.84563 17331
50R 3 10000 GRADED 3000 0.87002 17331
51R 3 10000 GRADED 10000 0.89546 17331
52R 3 10000 GRADED -1 0.99406 17331
53R 3 10000 GRADED-G 300 0.75254 17331
54R 3 10000 GRADED-G 1000 0.84839 17331
55R 3 10000 GRADED-G 3000 0.87489 17331
56R 3 10000 GRADED-G 10000 0.98007 17331
57R 3 10000 GRADED-G -1 0.99406 17331
58R 3 10000 GRADED-R 300 0.71459 17331
59R 3 10000 GRADED-R 1000 0.87574 17331
60R 3 10000 GRADED-R 3000 0.95356 17331
61R 3 10000 GRADED-R 10000 0.98198 17331
62R 3 10000 GRADED-R -1 0.99406 17331
63P 3 30000 W 0.37845 0.52967 0.29439
64P 3 30000 G 0.72961 0.73071 0.72851
65P 3 30000 S1 0.67682 0.67834 0.67530
66P 3 30000 S2 0.50016 0.50016 0.50016
67P 3 30000 BACKOFF 0.70991 0.70991 0.70991
68P 3 30000 BEST-G 0.59521 0.59521 0.59521
69R 3 30000 C-G 300 0.70950 23826
70R 3 30000 C-G 1000 0.86069 23826
71R 3 30000 C-G 3000 0.95441 23826
72R 3 30000 C-G 10000 0.98452 23826
73R 3 30000 C-G -1 1.00000 23826
74R 3 30000 HARD 300 0.72053 5199
75R 3 30000 HARD 1000 0.84097 5199
76R 3 30000 HARD 3000 0.88486 5199
77R 3 30000 HARD 10000 0.89864 5199
78R 3 30000 HARD -1 0.89864 5199
79R 3 30000 GRADED 300 0.75763 23826
80R 3 30000 GRADED 1000 0.85115 23826
81R 3 30000 GRADED 3000 0.88656 23826
82R 3 30000 GRADED 10000 0.89885 23826
83R 3 30000 GRADED -1 1.00000 23826
84R 3 30000 GRADED-G 300 0.75615 23826
85R 3 30000 GRADED-G 1000 0.86196 23826
86R 3 30000 GRADED-G 3000 0.88974 23826
87R 3 30000 GRADED-G 10000 0.90691 23826
88R 3 30000 GRADED-G -1 1.00000 23826
89R 3 30000 GRADED-R 300 0.70950 23826
90R 3 30000 GRADED-R 1000 0.86662 23826
91R 3 30000 GRADED-R 3000 0.95738 23826
92R 3 30000 GRADED-R 10000 0.98707 23826
93R 3 30000 GRADED-R -1 1.00000 23826
experiments/fractal/results/1792354961/seed-4.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 4 3000 W 0.16105 0.50579 0.09578
2P 4 3000 G 0.71224 0.71782 0.70674
3P 4 3000 S1 0.66974 0.67223 0.66726
4P 4 3000 S2 0.50699 0.50699 0.50699
5P 4 3000 BACKOFF 0.72583 0.72583 0.72583
6P 4 3000 BEST-G 0.60926 0.60926 0.60926
7R 4 3000 C-G 300 0.70462 10459
8R 4 3000 C-G 1000 0.84966 10459
9R 4 3000 C-G 3000 0.94105 10459
10R 4 3000 C-G 10000 0.97837 10459
11R 4 3000 C-G -1 0.98070 10459
12R 4 3000 HARD 300 0.69084 2115
13R 4 3000 HARD 1000 0.78456 2115
14R 4 3000 HARD 3000 0.80980 2115
15R 4 3000 HARD 10000 0.80980 2115
16R 4 3000 HARD -1 0.80980 2115
17R 4 3000 GRADED 300 0.73261 10459
18R 4 3000 GRADED 1000 0.82655 10459
19R 4 3000 GRADED 3000 0.85284 10459
20R 4 3000 GRADED 10000 0.97986 10459
21R 4 3000 GRADED -1 0.98070 10459
22R 4 3000 GRADED-G 300 0.69720 10459
23R 4 3000 GRADED-G 1000 0.79729 10459
24R 4 3000 GRADED-G 3000 0.82252 10459
25R 4 3000 GRADED-G 10000 0.98028 10459
26R 4 3000 GRADED-G -1 0.98070 10459
27R 4 3000 GRADED-R 300 0.65925 10459
28R 4 3000 GRADED-R 1000 0.72477 10459
29R 4 3000 GRADED-R 3000 0.93660 10459
30R 4 3000 GRADED-R 10000 0.97837 10459
31R 4 3000 GRADED-R -1 0.98070 10459
32P 4 10000 W 0.27889 0.51613 0.19106
33P 4 10000 G 0.73639 0.73834 0.73444
34P 4 10000 S1 0.68711 0.68885 0.68538
35P 4 10000 S2 0.50203 0.50203 0.50203
36P 4 10000 BACKOFF 0.72681 0.72681 0.72681
37P 4 10000 BEST-G 0.59667 0.59667 0.59667
38R 4 10000 C-G 300 0.70314 17450
39R 4 10000 C-G 1000 0.85560 17450
40R 4 10000 C-G 3000 0.94254 17450
41R 4 10000 C-G 10000 0.98537 17450
42R 4 10000 C-G -1 0.99364 17450
43R 4 10000 HARD 300 0.70759 3637
44R 4 10000 HARD 1000 0.82909 3637
45R 4 10000 HARD 3000 0.87680 3637
46R 4 10000 HARD 10000 0.87977 3637
47R 4 10000 HARD -1 0.87977 3637
48R 4 10000 GRADED 300 0.73601 17450
49R 4 10000 GRADED 1000 0.84500 17450
50R 4 10000 GRADED 3000 0.87320 17450
51R 4 10000 GRADED 10000 0.89037 17450
52R 4 10000 GRADED -1 0.99364 17450
53R 4 10000 GRADED-G 300 0.73770 17450
54R 4 10000 GRADED-G 1000 0.85008 17450
55R 4 10000 GRADED-G 3000 0.87786 17450
56R 4 10000 GRADED-G 10000 0.97243 17450
57R 4 10000 GRADED-G -1 0.99364 17450
58R 4 10000 GRADED-R 300 0.70314 17450
59R 4 10000 GRADED-R 1000 0.86620 17450
60R 4 10000 GRADED-R 3000 0.93787 17450
61R 4 10000 GRADED-R 10000 0.98240 17450
62R 4 10000 GRADED-R -1 0.99364 17450
63P 4 30000 W 0.37526 0.52800 0.29106
64P 4 30000 G 0.73533 0.73647 0.73420
65P 4 30000 S1 0.67372 0.67540 0.67206
66P 4 30000 S2 0.51145 0.51145 0.51145
67P 4 30000 BACKOFF 0.71552 0.71552 0.71552
68P 4 30000 BEST-G 0.59310 0.59310 0.59310
69R 4 30000 C-G 300 0.69847 23798
70R 4 30000 C-G 1000 0.84500 23798
71R 4 30000 C-G 3000 0.94572 23798
72R 4 30000 C-G 10000 0.98579 23798
73R 4 30000 C-G -1 0.99915 23798
74R 4 30000 HARD 300 0.68109 5191
75R 4 30000 HARD 1000 0.82909 5191
76R 4 30000 HARD 3000 0.87553 5191
77R 4 30000 HARD 10000 0.89483 5191
78R 4 30000 HARD -1 0.89483 5191
79R 4 30000 GRADED 300 0.73601 23798
80R 4 30000 GRADED 1000 0.84012 23798
81R 4 30000 GRADED 3000 0.88253 23798
82R 4 30000 GRADED 10000 0.89992 23798
83R 4 30000 GRADED -1 0.99915 23798
84R 4 30000 GRADED-G 300 0.73770 23798
85R 4 30000 GRADED-G 1000 0.84712 23798
86R 4 30000 GRADED-G 3000 0.88740 23798
87R 4 30000 GRADED-G 10000 0.91137 23798
88R 4 30000 GRADED-G -1 0.99915 23798
89R 4 30000 GRADED-R 300 0.69847 23798
90R 4 30000 GRADED-R 1000 0.84945 23798
91R 4 30000 GRADED-R 3000 0.94847 23798
92R 4 30000 GRADED-R 10000 0.98410 23798
93R 4 30000 GRADED-R -1 0.99915 23798
experiments/fractal/results/1792354961/seed-5.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 5 3000 W 0.16322 0.53423 0.09632
2P 5 3000 G 0.67959 0.68494 0.67433
3P 5 3000 S1 0.65658 0.66207 0.65118
4P 5 3000 S2 0.51186 0.51186 0.51186
5P 5 3000 BACKOFF 0.70152 0.70152 0.70152
6P 5 3000 BEST-G 0.59326 0.59326 0.59326
7R 5 3000 C-G 300 0.73513 10378
8R 5 3000 C-G 1000 0.85600 10378
9R 5 3000 C-G 3000 0.93967 10378
10R 5 3000 C-G 10000 0.97540 10378
11R 5 3000 C-G -1 0.97730 10378
12R 5 3000 HARD 300 0.64011 2061
13R 5 3000 HARD 1000 0.72251 2061
14R 5 3000 HARD 3000 0.75321 2061
15R 5 3000 HARD 10000 0.75321 2061
16R 5 3000 HARD -1 0.75321 2061
17R 5 3000 GRADED 300 0.74059 10378
18R 5 3000 GRADED 1000 0.80765 10378
19R 5 3000 GRADED 3000 0.84066 10378
20R 5 3000 GRADED 10000 0.97583 10378
21R 5 3000 GRADED -1 0.97730 10378
22R 5 3000 GRADED-G 300 0.65777 10378
23R 5 3000 GRADED-G 1000 0.74101 10378
24R 5 3000 GRADED-G 3000 0.80912 10378
25R 5 3000 GRADED-G 10000 0.97625 10378
26R 5 3000 GRADED-G -1 0.97730 10378
27R 5 3000 GRADED-R 300 0.73975 10378
28R 5 3000 GRADED-R 1000 0.85600 10378
29R 5 3000 GRADED-R 3000 0.91570 10378
30R 5 3000 GRADED-R 10000 0.97583 10378
31R 5 3000 GRADED-R -1 0.97730 10378
32P 5 10000 W 0.27297 0.51935 0.18514
33P 5 10000 G 0.73756 0.73908 0.73604
34P 5 10000 S1 0.67972 0.68190 0.67756
35P 5 10000 S2 0.50290 0.50290 0.50290
36P 5 10000 BACKOFF 0.71886 0.71886 0.71886
37P 5 10000 BEST-G 0.58398 0.58398 0.58398
38R 5 10000 C-G 300 0.71873 17483
39R 5 10000 C-G 1000 0.85432 17483
40R 5 10000 C-G 3000 0.94555 17483
41R 5 10000 C-G 10000 0.98213 17483
42R 5 10000 C-G -1 0.99495 17483
43R 5 10000 HARD 300 0.71158 3586
44R 5 10000 HARD 1000 0.82657 3586
45R 5 10000 HARD 3000 0.87786 3586
46R 5 10000 HARD 10000 0.88123 3586
47R 5 10000 HARD -1 0.88123 3586
48R 5 10000 GRADED 300 0.73786 17483
49R 5 10000 GRADED 1000 0.83540 17483
50R 5 10000 GRADED 3000 0.86378 17483
51R 5 10000 GRADED 10000 0.88585 17483
52R 5 10000 GRADED -1 0.99495 17483
53R 5 10000 GRADED-G 300 0.73828 17483
54R 5 10000 GRADED-G 1000 0.85201 17483
55R 5 10000 GRADED-G 3000 0.87871 17483
56R 5 10000 GRADED-G 10000 0.97730 17483
57R 5 10000 GRADED-G -1 0.99495 17483
58R 5 10000 GRADED-R 300 0.71873 17483
59R 5 10000 GRADED-R 1000 0.87261 17483
60R 5 10000 GRADED-R 3000 0.93757 17483
61R 5 10000 GRADED-R 10000 0.97982 17483
62R 5 10000 GRADED-R -1 0.99495 17483
63P 5 30000 W 0.38075 0.53489 0.29558
64P 5 30000 G 0.74128 0.74281 0.73975
65P 5 30000 S1 0.67228 0.67443 0.67014
66P 5 30000 S2 0.51267 0.51267 0.51267
67P 5 30000 BACKOFF 0.71676 0.71676 0.71676
68P 5 30000 BEST-G 0.58833 0.58833 0.58833
69R 5 30000 C-G 300 0.70843 24161
70R 5 30000 C-G 1000 0.84654 24161
71R 5 30000 C-G 3000 0.94534 24161
72R 5 30000 C-G 10000 0.98718 24161
73R 5 30000 C-G -1 0.99958 24161
74R 5 30000 HARD 300 0.70759 5226
75R 5 30000 HARD 1000 0.83414 5226
76R 5 30000 HARD 3000 0.87618 5226
77R 5 30000 HARD 10000 0.89426 5226
78R 5 30000 HARD -1 0.89426 5226
79R 5 30000 GRADED 300 0.73786 24161
80R 5 30000 GRADED 1000 0.83918 24161
81R 5 30000 GRADED 3000 0.87913 24161
82R 5 30000 GRADED 10000 0.89153 24161
83R 5 30000 GRADED -1 0.99958 24161
84R 5 30000 GRADED-G 300 0.73576 24161
85R 5 30000 GRADED-G 1000 0.84717 24161
86R 5 30000 GRADED-G 3000 0.88690 24161
87R 5 30000 GRADED-G 10000 0.90708 24161
88R 5 30000 GRADED-G -1 0.99958 24161
89R 5 30000 GRADED-R 300 0.70843 24161
90R 5 30000 GRADED-R 1000 0.85327 24161
91R 5 30000 GRADED-R 3000 0.94850 24161
92R 5 30000 GRADED-R 10000 0.98444 24161
93R 5 30000 GRADED-R -1 0.99958 24161
experiments/fractal/results/1792354961/seed-6.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 6 3000 W 0.14721 0.47416 0.08713
2P 6 3000 G 0.70396 0.70733 0.70062
3P 6 3000 S1 0.68320 0.68502 0.68139
4P 6 3000 S2 0.51456 0.51456 0.51456
5P 6 3000 BACKOFF 0.69967 0.69967 0.69967
6P 6 3000 BEST-G 0.60850 0.60850 0.60850
7R 6 3000 C-G 300 0.72680 10698
8R 6 3000 C-G 1000 0.86123 10698
9R 6 3000 C-G 3000 0.94014 10698
10R 6 3000 C-G 10000 0.97825 10698
11R 6 3000 C-G -1 0.98053 10698
12R 6 3000 HARD 300 0.66363 2035
13R 6 3000 HARD 1000 0.75249 2035
14R 6 3000 HARD 3000 0.79743 2035
15R 6 3000 HARD 10000 0.79743 2035
16R 6 3000 HARD -1 0.79743 2035
17R 6 3000 GRADED 300 0.71769 10698
18R 6 3000 GRADED 1000 0.79992 10698
19R 6 3000 GRADED 3000 0.83181 10698
20R 6 3000 GRADED 10000 0.98032 10698
21R 6 3000 GRADED -1 0.98053 10698
22R 6 3000 GRADED-G 300 0.68641 10698
23R 6 3000 GRADED-G 1000 0.78107 10698
24R 6 3000 GRADED-G 3000 0.80882 10698
25R 6 3000 GRADED-G 10000 0.97991 10698
26R 6 3000 GRADED-G -1 0.98053 10698
27R 6 3000 GRADED-R 300 0.73053 10698
28R 6 3000 GRADED-R 1000 0.84031 10698
29R 6 3000 GRADED-R 3000 0.89022 10698
30R 6 3000 GRADED-R 10000 0.97887 10698
31R 6 3000 GRADED-R -1 0.98053 10698
32P 6 10000 W 0.26077 0.50237 0.17608
33P 6 10000 G 0.72774 0.72907 0.72642
34P 6 10000 S1 0.67042 0.67221 0.66865
35P 6 10000 S2 0.51274 0.51274 0.51274
36P 6 10000 BACKOFF 0.71280 0.71280 0.71280
37P 6 10000 BEST-G 0.59465 0.59465 0.59465
38R 6 10000 C-G 300 0.71935 17582
39R 6 10000 C-G 1000 0.84963 17582
40R 6 10000 C-G 3000 0.94905 17582
41R 6 10000 C-G 10000 0.98467 17582
42R 6 10000 C-G -1 0.99648 17582
43R 6 10000 HARD 300 0.69905 3622
44R 6 10000 HARD 1000 0.80841 3622
45R 6 10000 HARD 3000 0.86060 3622
46R 6 10000 HARD 10000 0.86350 3622
47R 6 10000 HARD -1 0.86350 3622
48R 6 10000 GRADED 300 0.74234 17582
49R 6 10000 GRADED 1000 0.85108 17582
50R 6 10000 GRADED 3000 0.87635 17582
51R 6 10000 GRADED 10000 0.89147 17582
52R 6 10000 GRADED -1 0.99648 17582
53R 6 10000 GRADED-G 300 0.72432 17582
54R 6 10000 GRADED-G 1000 0.82995 17582
55R 6 10000 GRADED-G 3000 0.86123 17582
56R 6 10000 GRADED-G 10000 0.97577 17582
57R 6 10000 GRADED-G -1 0.99648 17582
58R 6 10000 GRADED-R 300 0.71935 17582
59R 6 10000 GRADED-R 1000 0.86143 17582
60R 6 10000 GRADED-R 3000 0.95174 17582
61R 6 10000 GRADED-R 10000 0.98571 17582
62R 6 10000 GRADED-R -1 0.99648 17582
63P 6 30000 W 0.37723 0.52798 0.29345
64P 6 30000 G 0.73329 0.73463 0.73196
65P 6 30000 S1 0.67082 0.67261 0.66904
66P 6 30000 S2 0.51361 0.51361 0.51361
67P 6 30000 BACKOFF 0.71462 0.71462 0.71462
68P 6 30000 BEST-G 0.59061 0.59061 0.59061
69R 6 30000 C-G 300 0.70816 23768
70R 6 30000 C-G 1000 0.84466 23768
71R 6 30000 C-G 3000 0.95278 23768
72R 6 30000 C-G 10000 0.98840 23768
73R 6 30000 C-G -1 0.99959 23768
74R 6 30000 HARD 300 0.71375 5170
75R 6 30000 HARD 1000 0.83534 5170
76R 6 30000 HARD 3000 0.88442 5170
77R 6 30000 HARD 10000 0.89934 5170
78R 6 30000 HARD -1 0.89934 5170
79R 6 30000 GRADED 300 0.74234 23768
80R 6 30000 GRADED 1000 0.83844 23768
81R 6 30000 GRADED 3000 0.88546 23768
82R 6 30000 GRADED 10000 0.89996 23768
83R 6 30000 GRADED -1 0.99959 23768
84R 6 30000 GRADED-G 300 0.74275 23768
85R 6 30000 GRADED-G 1000 0.84486 23768
86R 6 30000 GRADED-G 3000 0.89354 23768
87R 6 30000 GRADED-G 10000 0.91218 23768
88R 6 30000 GRADED-G -1 0.99959 23768
89R 6 30000 GRADED-R 300 0.70816 23768
90R 6 30000 GRADED-R 1000 0.85004 23768
91R 6 30000 GRADED-R 3000 0.95526 23768
92R 6 30000 GRADED-R 10000 0.98799 23768
93R 6 30000 GRADED-R -1 0.99959 23768
experiments/fractal/results/1792354961/seed-7.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 7 3000 W 0.14431 0.47357 0.08513
2P 7 3000 G 0.71937 0.72537 0.71346
3P 7 3000 S1 0.66356 0.66784 0.65934
4P 7 3000 S2 0.51413 0.51413 0.51413
5P 7 3000 BACKOFF 0.74567 0.74567 0.74567
6P 7 3000 BEST-G 0.61126 0.61126 0.61126
7R 7 3000 C-G 300 0.71012 10473
8R 7 3000 C-G 1000 0.85076 10473
9R 7 3000 C-G 3000 0.93997 10473
10R 7 3000 C-G 10000 0.97481 10473
11R 7 3000 C-G -1 0.97670 10473
12R 7 3000 HARD 300 0.67338 2027
13R 7 3000 HARD 1000 0.75378 2027
14R 7 3000 HARD 3000 0.78610 2027
15R 7 3000 HARD 10000 0.78610 2027
16R 7 3000 HARD -1 0.78610 2027
17R 7 3000 GRADED 300 0.70130 10473
18R 7 3000 GRADED 1000 0.77792 10473
19R 7 3000 GRADED 3000 0.80542 10473
20R 7 3000 GRADED 10000 0.97628 10473
21R 7 3000 GRADED -1 0.97670 10473
22R 7 3000 GRADED-G 300 0.69647 10473
23R 7 3000 GRADED-G 1000 0.77561 10473
24R 7 3000 GRADED-G 3000 0.80688 10473
25R 7 3000 GRADED-G 10000 0.97670 10473
26R 7 3000 GRADED-G -1 0.97670 10473
27R 7 3000 GRADED-R 300 0.72838 10473
28R 7 3000 GRADED-R 1000 0.83228 10473
29R 7 3000 GRADED-R 3000 0.93703 10473
30R 7 3000 GRADED-R 10000 0.97502 10473
31R 7 3000 GRADED-R -1 0.97670 10473
32P 7 10000 W 0.27579 0.52705 0.18676
33P 7 10000 G 0.73902 0.74042 0.73762
34P 7 10000 S1 0.67587 0.67759 0.67416
35P 7 10000 S2 0.50930 0.50930 0.50930
36P 7 10000 BACKOFF 0.72127 0.72127 0.72127
37P 7 10000 BEST-G 0.58831 0.58831 0.58831
38R 7 10000 C-G 300 0.71725 17516
39R 7 10000 C-G 1000 0.84824 17516
40R 7 10000 C-G 3000 0.94521 17516
41R 7 10000 C-G 10000 0.98237 17516
42R 7 10000 C-G -1 0.99559 17516
43R 7 10000 HARD 300 0.71390 3635
44R 7 10000 HARD 1000 0.82473 3635
45R 7 10000 HARD 3000 0.87448 3635
46R 7 10000 HARD 10000 0.87636 3635
47R 7 10000 HARD -1 0.87636 3635
48R 7 10000 GRADED 300 0.73950 17516
49R 7 10000 GRADED 1000 0.84803 17516
50R 7 10000 GRADED 3000 0.87133 17516
51R 7 10000 GRADED 10000 0.88938 17516
52R 7 10000 GRADED -1 0.99559 17516
53R 7 10000 GRADED-G 300 0.73804 17516
54R 7 10000 GRADED-G 1000 0.85055 17516
55R 7 10000 GRADED-G 3000 0.87427 17516
56R 7 10000 GRADED-G 10000 0.97544 17516
57R 7 10000 GRADED-G -1 0.99559 17516
58R 7 10000 GRADED-R 300 0.71725 17516
59R 7 10000 GRADED-R 1000 0.86461 17516
60R 7 10000 GRADED-R 3000 0.94710 17516
61R 7 10000 GRADED-R 10000 0.98531 17516
62R 7 10000 GRADED-R -1 0.99559 17516
63P 7 30000 W 0.38347 0.53698 0.29822
64P 7 30000 G 0.74109 0.74256 0.73963
65P 7 30000 S1 0.67587 0.67759 0.67416
66P 7 30000 S2 0.51140 0.51140 0.51140
67P 7 30000 BACKOFF 0.71483 0.71483 0.71483
68P 7 30000 BEST-G 0.59974 0.59974 0.59974
69R 7 30000 C-G 300 0.70802 23815
70R 7 30000 C-G 1000 0.84950 23815
71R 7 30000 C-G 3000 0.94773 23815
72R 7 30000 C-G 10000 0.98489 23815
73R 7 30000 C-G -1 0.99937 23815
74R 7 30000 HARD 300 0.70676 5081
75R 7 30000 HARD 1000 0.82641 5081
76R 7 30000 HARD 3000 0.87741 5081
77R 7 30000 HARD 10000 0.89232 5081
78R 7 30000 HARD -1 0.89232 5081
79R 7 30000 GRADED 300 0.73699 23815
80R 7 30000 GRADED 1000 0.84362 23815
81R 7 30000 GRADED 3000 0.88182 23815
82R 7 30000 GRADED 10000 0.89736 23815
83R 7 30000 GRADED -1 0.99937 23815
84R 7 30000 GRADED-G 300 0.73552 23815
85R 7 30000 GRADED-G 1000 0.85013 23815
86R 7 30000 GRADED-G 3000 0.88308 23815
87R 7 30000 GRADED-G 10000 0.90638 23815
88R 7 30000 GRADED-G -1 0.99937 23815
89R 7 30000 GRADED-R 300 0.70802 23815
90R 7 30000 GRADED-R 1000 0.85600 23815
91R 7 30000 GRADED-R 3000 0.95109 23815
92R 7 30000 GRADED-R 10000 0.98720 23815
93R 7 30000 GRADED-R -1 0.99937 23815
experiments/fractal/results/1792354961/seed-8.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 8 3000 W 0.15559 0.52131 0.09144
2P 8 3000 G 0.70116 0.70773 0.69471
3P 8 3000 S1 0.66986 0.67288 0.66686
4P 8 3000 S2 0.54058 0.54058 0.54058
5P 8 3000 BACKOFF 0.71172 0.71172 0.71172
6P 8 3000 BEST-G 0.60105 0.60105 0.60105
7R 8 3000 C-G 300 0.72817 10644
8R 8 3000 C-G 1000 0.86012 10644
9R 8 3000 C-G 3000 0.94551 10644
10R 8 3000 C-G 10000 0.97597 10644
11R 8 3000 C-G -1 0.97833 10644
12R 8 3000 HARD 300 0.67604 2034
13R 8 3000 HARD 1000 0.75692 2034
14R 8 3000 HARD 3000 0.78181 2034
15R 8 3000 HARD 10000 0.78181 2034
16R 8 3000 HARD -1 0.78181 2034
17R 8 3000 GRADED 300 0.74018 10644
18R 8 3000 GRADED 1000 0.81871 10644
19R 8 3000 GRADED 3000 0.84982 10644
20R 8 3000 GRADED 10000 0.97790 10644
21R 8 3000 GRADED -1 0.97833 10644
22R 8 3000 GRADED-G 300 0.67904 10644
23R 8 3000 GRADED-G 1000 0.77044 10644
24R 8 3000 GRADED-G 3000 0.81356 10644
25R 8 3000 GRADED-G 10000 0.97790 10644
26R 8 3000 GRADED-G -1 0.97833 10644
27R 8 3000 GRADED-R 300 0.73482 10644
28R 8 3000 GRADED-R 1000 0.86441 10644
29R 8 3000 GRADED-R 3000 0.92684 10644
30R 8 3000 GRADED-R 10000 0.97747 10644
31R 8 3000 GRADED-R -1 0.97833 10644
32P 8 10000 W 0.28046 0.51827 0.19224
33P 8 10000 G 0.73494 0.73639 0.73349
34P 8 10000 S1 0.66620 0.66868 0.66374
35P 8 10000 S2 0.52202 0.52202 0.52202
36P 8 10000 BACKOFF 0.71237 0.71237 0.71237
37P 8 10000 BEST-G 0.59119 0.59119 0.59119
38R 8 10000 C-G 300 0.72946 17275
39R 8 10000 C-G 1000 0.85368 17275
40R 8 10000 C-G 3000 0.94744 17275
41R 8 10000 C-G 10000 0.98584 17275
42R 8 10000 C-G -1 0.99549 17275
43R 8 10000 HARD 300 0.72195 3601
44R 8 10000 HARD 1000 0.83652 3601
45R 8 10000 HARD 3000 0.88736 3601
46R 8 10000 HARD 10000 0.88972 3601
47R 8 10000 HARD -1 0.88972 3601
48R 8 10000 GRADED 300 0.75220 17275
49R 8 10000 GRADED 1000 0.85411 17275
50R 8 10000 GRADED 3000 0.87985 17275
51R 8 10000 GRADED 10000 0.89809 17275
52R 8 10000 GRADED -1 0.99549 17275
53R 8 10000 GRADED-G 300 0.75585 17275
54R 8 10000 GRADED-G 1000 0.86419 17275
55R 8 10000 GRADED-G 3000 0.88822 17275
56R 8 10000 GRADED-G 10000 0.97661 17275
57R 8 10000 GRADED-G -1 0.99549 17275
58R 8 10000 GRADED-R 300 0.72946 17275
59R 8 10000 GRADED-R 1000 0.86827 17275
60R 8 10000 GRADED-R 3000 0.95259 17275
61R 8 10000 GRADED-R 10000 0.98455 17275
62R 8 10000 GRADED-R -1 0.99549 17275
63P 8 30000 W 0.38439 0.54193 0.29781
64P 8 30000 G 0.73066 0.73210 0.72921
65P 8 30000 S1 0.66702 0.66951 0.66456
66P 8 30000 S2 0.52037 0.52037 0.52037
67P 8 30000 BACKOFF 0.71467 0.71467 0.71467
68P 8 30000 BEST-G 0.59144 0.59144 0.59144
69R 8 30000 C-G 300 0.71959 23804
70R 8 30000 C-G 1000 0.84510 23804
71R 8 30000 C-G 3000 0.95044 23804
72R 8 30000 C-G 10000 0.98584 23804
73R 8 30000 C-G -1 1.00000 23804
74R 8 30000 HARD 300 0.71937 5148
75R 8 30000 HARD 1000 0.84317 5148
76R 8 30000 HARD 3000 0.89359 5148
77R 8 30000 HARD 10000 0.90624 5148
78R 8 30000 HARD -1 0.90624 5148
79R 8 30000 GRADED 300 0.74877 23804
80R 8 30000 GRADED 1000 0.84510 23804
81R 8 30000 GRADED 3000 0.89101 23804
82R 8 30000 GRADED 10000 0.90152 23804
83R 8 30000 GRADED -1 1.00000 23804
84R 8 30000 GRADED-G 300 0.75585 23804
85R 8 30000 GRADED-G 1000 0.85647 23804
86R 8 30000 GRADED-G 3000 0.89766 23804
87R 8 30000 GRADED-G 10000 0.91761 23804
88R 8 30000 GRADED-G -1 1.00000 23804
89R 8 30000 GRADED-R 300 0.71959 23804
90R 8 30000 GRADED-R 1000 0.85346 23804
91R 8 30000 GRADED-R 3000 0.95409 23804
92R 8 30000 GRADED-R 10000 0.98992 23804
93R 8 30000 GRADED-R -1 1.00000 23804
experiments/fractal/results/1792354961/seed-9.tsv +93 -0
……@@ -0,0 +1,93 @@
1P 9 3000 W 0.15741 0.49574 0.09356
2P 9 3000 G 0.72358 0.72648 0.72070
3P 9 3000 S1 0.68553 0.68697 0.68410
4P 9 3000 S2 0.51669 0.51669 0.51669
5P 9 3000 BACKOFF 0.72818 0.72818 0.72818
6P 9 3000 BEST-G 0.60277 0.60277 0.60277
7R 9 3000 C-G 300 0.73125 10725
8R 9 3000 C-G 1000 0.86021 10725
9R 9 3000 C-G 3000 0.93708 10725
10R 9 3000 C-G 10000 0.97562 10725
11R 9 3000 C-G -1 0.97792 10725
12R 9 3000 HARD 300 0.72396 2115
13R 9 3000 HARD 1000 0.81958 2115
14R 9 3000 HARD 3000 0.84833 2115
15R 9 3000 HARD 10000 0.84833 2115
16R 9 3000 HARD -1 0.84833 2115
17R 9 3000 GRADED 300 0.73000 10725
18R 9 3000 GRADED 1000 0.80542 10725
19R 9 3000 GRADED 3000 0.82479 10725
20R 9 3000 GRADED 10000 0.97729 10725
21R 9 3000 GRADED -1 0.97792 10725
22R 9 3000 GRADED-G 300 0.74125 10725
23R 9 3000 GRADED-G 1000 0.83479 10725
24R 9 3000 GRADED-G 3000 0.85521 10725
25R 9 3000 GRADED-G 10000 0.97792 10725
26R 9 3000 GRADED-G -1 0.97792 10725
27R 9 3000 GRADED-R 300 0.75167 10725
28R 9 3000 GRADED-R 1000 0.84375 10725
29R 9 3000 GRADED-R 3000 0.93604 10725
30R 9 3000 GRADED-R 10000 0.97646 10725
31R 9 3000 GRADED-R -1 0.97792 10725
32P 9 10000 W 0.27007 0.51388 0.18317
33P 9 10000 G 0.74383 0.74476 0.74290
34P 9 10000 S1 0.68537 0.68681 0.68394
35P 9 10000 S2 0.51999 0.51999 0.51999
36P 9 10000 BACKOFF 0.72729 0.72729 0.72729
37P 9 10000 BEST-G 0.60526 0.60526 0.60526
38R 9 10000 C-G 300 0.72417 17566
39R 9 10000 C-G 1000 0.85708 17566
40R 9 10000 C-G 3000 0.94583 17566
41R 9 10000 C-G 10000 0.98062 17566
42R 9 10000 C-G -1 0.99479 17566
43R 9 10000 HARD 300 0.71667 3651
44R 9 10000 HARD 1000 0.83458 3651
45R 9 10000 HARD 3000 0.88417 3651
46R 9 10000 HARD 10000 0.88875 3651
47R 9 10000 HARD -1 0.88875 3651
48R 9 10000 GRADED 300 0.75271 17566
49R 9 10000 GRADED 1000 0.84583 17566
50R 9 10000 GRADED 3000 0.87562 17566
51R 9 10000 GRADED 10000 0.89354 17566
52R 9 10000 GRADED -1 0.99479 17566
53R 9 10000 GRADED-G 300 0.75313 17566
54R 9 10000 GRADED-G 1000 0.85208 17566
55R 9 10000 GRADED-G 3000 0.88479 17566
56R 9 10000 GRADED-G 10000 0.97229 17566
57R 9 10000 GRADED-G -1 0.99479 17566
58R 9 10000 GRADED-R 300 0.72417 17566
59R 9 10000 GRADED-R 1000 0.87354 17566
60R 9 10000 GRADED-R 3000 0.94854 17566
61R 9 10000 GRADED-R 10000 0.98146 17566
62R 9 10000 GRADED-R -1 0.99479 17566
63P 9 30000 W 0.38092 0.53275 0.29644
64P 9 30000 G 0.74939 0.75032 0.74845
65P 9 30000 S1 0.68577 0.68721 0.68434
66P 9 30000 S2 0.51830 0.51830 0.51830
67P 9 30000 BACKOFF 0.72593 0.72593 0.72593
68P 9 30000 BEST-G 0.59738 0.59738 0.59738
69R 9 30000 C-G 300 0.71146 23892
70R 9 30000 C-G 1000 0.85104 23892
71R 9 30000 C-G 3000 0.94750 23892
72R 9 30000 C-G 10000 0.98583 23892
73R 9 30000 C-G -1 0.99938 23892
74R 9 30000 HARD 300 0.70000 5192
75R 9 30000 HARD 1000 0.83417 5192
76R 9 30000 HARD 3000 0.89021 5192
77R 9 30000 HARD 10000 0.90208 5192
78R 9 30000 HARD -1 0.90208 5192
79R 9 30000 GRADED 300 0.74542 23892
80R 9 30000 GRADED 1000 0.84208 23892
81R 9 30000 GRADED 3000 0.88521 23892
82R 9 30000 GRADED 10000 0.89854 23892
83R 9 30000 GRADED -1 0.99938 23892
84R 9 30000 GRADED-G 300 0.75313 23892
85R 9 30000 GRADED-G 1000 0.84667 23892
86R 9 30000 GRADED-G 3000 0.89146 23892
87R 9 30000 GRADED-G 10000 0.91250 23892
88R 9 30000 GRADED-G -1 0.99938 23892
89R 9 30000 GRADED-R 300 0.71146 23892
90R 9 30000 GRADED-R 1000 0.85771 23892
91R 9 30000 GRADED-R 3000 0.95479 23892
92R 9 30000 GRADED-R 10000 0.98813 23892
93R 9 30000 GRADED-R -1 0.99938 23892
experiments/fractal/results/1792354961/src.sha256 +2 -0
……@@ -0,0 +1,2 @@
16ef7ae8ca7f625ae19cd5a2893d9a87ef144be2c62508074cef3b7f6cbb8fca3 fractal.c
22f4343faaa8bd25592fdadbc5bd38807f63d6823bcf85aff9eaeda50e96b8396 ../across-cluster/ac.c
experiments/fractal/results/1792354961/summary.txt +36 -0
……@@ -0,0 +1,36 @@
1## Level-1 link F1 (mean)
2tier W G S1 S2 BEST-G
33000 0.156 0.705 0.668 0.516 0.603
410000 0.272 0.734 0.674 0.510 0.593
530000 0.380 0.735 0.672 0.511 0.592
6
7## Level-2 type recall at budget (mean)
8tier 3000: budget 300 1000 3000 10000 all
9 C-G 0.722 0.857 0.942 0.977 0.979 (list 10570)
10 HARD 0.673 0.763 0.795 0.795 0.795 (list 2072)
11 GRADED 0.730 0.811 0.840 0.978 0.979 (list 10570)
12 GRADED-G 0.691 0.782 0.817 0.978 0.979 (list 10570)
13 GRADED-R 0.719 0.822 0.924 0.977 0.979 (list 10570)
14tier 10000: budget 300 1000 3000 10000 all
15 C-G 0.717 0.853 0.947 0.984 0.995 (list 17434)
16 HARD 0.711 0.827 0.878 0.881 0.881 (list 3614)
17 GRADED 0.745 0.847 0.874 0.893 0.995 (list 17434)
18 GRADED-G 0.743 0.850 0.879 0.977 0.995 (list 17434)
19 GRADED-R 0.717 0.869 0.946 0.984 0.995 (list 17434)
20tier 30000: budget 300 1000 3000 10000 all
21 C-G 0.706 0.848 0.950 0.986 0.999 (list 23859)
22 HARD 0.704 0.834 0.883 0.899 0.899 (list 5187)
23 GRADED 0.744 0.844 0.885 0.899 0.999 (list 23859)
24 GRADED-G 0.744 0.850 0.890 0.910 0.999 (list 23859)
25 GRADED-R 0.706 0.853 0.953 0.987 0.999 (list 23859)
26
27## Predictions
28F1: FAIL — 3000: BEST-G-G -0.102[-0.109]; 10000: BEST-G-G -0.141[-0.146]; 30000: BEST-G-G -0.143
29F2: PASS — 3000:0.979 10000:0.995 30000:0.999 | HARD 3000:0.795 10000:0.881 30000:0.899
30F3a: FAIL — 3000: GRADED-C-G@1K -0.046[-0.059]; 10000: GRADED-C-G@1K -0.006[-0.012]; 30000: GRADED-C-G@1K -0.005[-0.008]
31F3b (GRADED >= HARD at B = |HARD list|): see note — compared at the largest common budget below each HARD list size:
32 3000: |HARD| 2072, budget 1000: GRADED 0.811 vs HARD 0.763
33 10000: |HARD| 3614, budget 3000: GRADED 0.874 vs HARD 0.878
34 30000: |HARD| 5187, budget 3000: GRADED 0.885 vs HARD 0.883
35F4: FAIL — GRADED-GRADED-G@1K 3000: +0.029[+0.009]; 10000: -0.004[-0.011]
36F5: FAIL — GRADED-R-C-G@1K 3000: -0.035[-0.070]; 10000: +0.016[+0.013]; 30000: +0.005[+0.003]