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/train-sets/ref/rcv1_small.stderr | |
| parent | c1e2b122b51483a184d2a36018a4ad49a86effb3 (diff) | |
Fix references for Murmur2 -> Murmur3
Change some test parameters to have better results
Diffstat (limited to 'test/train-sets/ref/rcv1_small.stderr')
| -rw-r--r-- | test/train-sets/ref/rcv1_small.stderr | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/test/train-sets/ref/rcv1_small.stderr b/test/train-sets/ref/rcv1_small.stderr index 9318e602..15934932 100644 --- a/test/train-sets/ref/rcv1_small.stderr +++ b/test/train-sets/ref/rcv1_small.stderr @@ -11,14 +11,14 @@ Allocated 72M for weights and mem creating cache_file = train-sets/rcv1_small.dat.cache Reading from train-sets/rcv1_small.dat num sources = 1 - 1 6.931472e-01 1.859805e-03 3.768599e+00 3.414409e+01 1.977478e+04 1.103734e-01 0.278 - 3 4.624629e-01 1.085869e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 0.418 - 4 3.384483e-01 4.246153e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 0.582 - 5 3.184994e-01 7.930468e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 0.739 - 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618753e+01 1.000000e+00 0.931 - 7 2.967627e-01 4.279800e-06 3.517536e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 1.136 - 8 2.952703e-01 2.241742e-06 1.631616e-03 0.527831 0.052654 5.802384e+00 1.000000e+00 1.369 - 9 2.950591e-01 7.095230e-07 1.546882e-03 0.199875 -0.608861 7.389067e-01 1.000000e+00 1.661 + 1 6.931472e-01 1.859805e-03 3.768599e+00 3.414409e+01 1.977478e+04 1.103734e-01 0.229 + 3 4.624629e-01 1.085869e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 0.308 + 4 3.384483e-01 4.246153e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 0.404 + 5 3.184994e-01 7.930468e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 0.524 + 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618753e+01 1.000000e+00 0.663 + 7 2.967627e-01 4.279800e-06 3.517536e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 0.811 + 8 2.952703e-01 2.241742e-06 1.631616e-03 0.527831 0.052654 5.802384e+00 1.000000e+00 0.990 + 9 2.950591e-01 7.095230e-07 1.546882e-03 0.199875 -0.608861 7.389067e-01 1.000000e+00 1.174 finished run number of examples = 200000 @@ -27,5 +27,5 @@ weighted label sum = -1.272e+04 average loss = 0.2911 best constant = -0.06361 total feature number = 15587880 -10 2.948347e-01 2.803388e-07 1.223610e-04 0.585414 0.171988 1.453116e-01 1.000000e+00 2.147 +10 2.948347e-01 2.803388e-07 1.223610e-04 0.585414 0.171988 1.453116e-01 1.000000e+00 1.529 |