diff options
| author | ariel faigon <ariel.git@yendor.com> | 2012-08-14 03:46:40 +0400 |
|---|---|---|
| committer | ariel faigon <ariel.git@yendor.com> | 2012-08-14 03:46:40 +0400 |
| commit | b2f4e58c4dedf4f54ea49dffb2aec49c412ff3ef (patch) | |
| tree | 4148c1ed00892073aef54670872c64c92fbcd86a /test/test-sets/ref/0002c.stderr | |
| parent | c1e2b122b51483a184d2a36018a4ad49a86effb3 (diff) | |
Fix references for Murmur2 -> Murmur3
Change some test parameters to have better results
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 8254fa2b..9a679e25 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 -0.002276 0.002276 3 3.0 0.5498 0.5361 184 -0.031357 0.060438 6 6.0 0.2681 0.6668 184 -0.027939 0.023839 11 11.0 0.4315 0.6007 184 -0.042069 0.056199 22 22.0 0.5519 0.4997 184 -0.025585 0.009101 44 44.0 0.5514 0.5331 184 -0.024013 0.022405 87 87.0 0.5140 0.5308 184 -0.018521 0.013029 174 174.0 0.5596 0.4972 184 -0.016111 0.013701 348 348.0 0.5475 0.4388 184 -0.015105 0.014098 696 696.0 0.3421 0.7898 184 -0.014822 0.014539 1392 1392.0 0.4996 0.5059 184 -0.013016 0.011211 2784 2784.0 0.5090 0.3869 184 -0.012228 0.011440 5568 5568.0 0.6413 0.7550 184 -0.011123 0.010018 11135 11135.0 0.3869 0.4848 184 -0.011121 0.011119 22269 22269.0 0.5063 0.4510 184 -0.015806 0.020491 44537 44537.0 0.4905 0.5220 184 +0.003393 0.003393 3 3.0 0.5498 0.5256 15 +0.019675 0.035958 6 6.0 0.2681 0.5213 15 +0.021545 0.023789 11 11.0 0.4315 0.5435 15 +0.030151 0.038757 22 22.0 0.5519 0.4713 15 +0.021702 0.013252 44 44.0 0.5514 0.5224 15 +0.017492 0.013185 87 87.0 0.5140 0.5879 15 +0.015067 0.012641 174 174.0 0.5596 0.4714 15 +0.013692 0.012317 348 348.0 0.5475 0.4640 15 +0.012417 0.011141 696 696.0 0.3421 0.6418 15 +0.013141 0.013866 1392 1392.0 0.4996 0.5202 15 +0.012969 0.012796 2784 2784.0 0.5090 0.3784 15 +0.011588 0.010206 5568 5568.0 0.6413 0.7439 15 +0.010168 0.008749 11135 11135.0 0.3869 0.4506 15 +0.010673 0.011177 22269 22269.0 0.5063 0.4666 15 +0.016128 0.021584 44537 44537.0 0.4905 0.5041 15 finished run number of examples = 74746 weighted example sum = 6.952e+04 weighted label sum = 3.511e+04 -average loss = 0.01421 +average loss = 0.01481 best constant = 0.5051 best constant's loss = 0.25 -total feature number = 13753264 +total feature number = 1121190 |