diff options
| author | Stephane Ross <stephaneross@cmu.edu> | 2012-08-22 17:43:29 +0400 |
|---|---|---|
| committer | Stephane Ross <stephaneross@cmu.edu> | 2012-08-22 17:43:29 +0400 |
| commit | 4441ae7dd8887cfdfdc719dd7d6805f33c78f593 (patch) | |
| tree | e84e5f67d1604ac039345c9ce7d439a11b9c9ecf /test/test-sets/ref/0002c.stderr | |
| parent | 1a732945de3fe76e7f227329759e578f7300d4ba (diff) | |
| parent | 11cf42fe15c0180d4ab732139a27d03fdab5e9e7 (diff) | |
Merge and resolve conflicts
Diffstat (limited to 'test/test-sets/ref/0002c.stderr')
| -rw-r--r-- | test/test-sets/ref/0002c.stderr | 34 |
1 files changed, 17 insertions, 17 deletions
diff --git a/test/test-sets/ref/0002c.stderr b/test/test-sets/ref/0002c.stderr index 467566c1..1d41de89 100644 --- a/test/test-sets/ref/0002c.stderr +++ b/test/test-sets/ref/0002c.stderr @@ -9,27 +9,27 @@ Reading from train-sets/0002.dat num sources = 1 average since example example current current current loss last counter weight label predict features -0.003357 0.003357 3 3.0 0.5498 0.5194 184 -0.025001 0.046645 6 6.0 0.2681 0.6030 184 -0.021822 0.018007 11 11.0 0.4315 0.5632 184 -0.037093 0.052364 22 22.0 0.5519 0.5173 184 -0.022365 0.007637 44 44.0 0.5514 0.5418 184 -0.021048 0.019700 87 87.0 0.5140 0.5620 184 -0.017350 0.013653 174 174.0 0.5596 0.4952 184 -0.015064 0.012777 348 348.0 0.5475 0.4873 184 -0.014542 0.014021 696 696.0 0.3421 0.7862 184 -0.014173 0.013804 1392 1392.0 0.4996 0.5262 184 -0.013207 0.012240 2784 2784.0 0.5090 0.4033 184 -0.012721 0.012235 5568 5568.0 0.6413 0.8874 184 -0.011278 0.009836 11135 11135.0 0.3869 0.4603 184 -0.012195 0.013111 22269 22269.0 0.5063 0.4577 184 -0.018275 0.024355 44537 44537.0 0.4905 0.5400 184 +0.002715 0.002715 3 3.0 0.5498 0.5067 15 +0.024634 0.046554 6 6.0 0.2681 0.5730 15 +0.025404 0.026327 11 11.0 0.4315 0.5330 15 +0.038383 0.051363 22 22.0 0.5519 0.4564 15 +0.026522 0.014662 44 44.0 0.5514 0.5145 15 +0.023545 0.020499 87 87.0 0.5140 0.5638 15 +0.023022 0.022498 174 174.0 0.5596 0.4431 15 +0.019465 0.015909 348 348.0 0.5475 0.4272 15 +0.017449 0.015432 696 696.0 0.3421 0.7915 15 +0.018162 0.018875 1392 1392.0 0.4996 0.5059 15 +0.015313 0.012465 2784 2784.0 0.5090 0.4542 15 +0.012718 0.010122 5568 5568.0 0.6413 0.6955 15 +0.011434 0.010150 11135 11135.0 0.3869 0.3792 15 +0.010238 0.009043 22269 22269.0 0.5063 0.4637 15 +0.014878 0.019518 44537 44537.0 0.4905 0.4432 15 finished run number of examples = 74746 weighted example sum = 6.952e+04 weighted label sum = 3.511e+04 -average loss = 0.01667 +average loss = 0.01343 best constant = 0.5051 best constant's loss = 0.25 -total feature number = 13753264 +total feature number = 1121190 |