diff options
| author | John Langford <jl@hunch.net> | 2012-07-24 01:22:21 +0400 |
|---|---|---|
| committer | John Langford <jl@hunch.net> | 2012-07-24 01:22:21 +0400 |
| commit | eee1f6a20f16fc8f6ff324a253824e9d5e1fd9ea (patch) | |
| tree | a402af776531ae9fddef02f1becbe87d6a960601 /test/train-sets/ref/rcv1_small.stderr | |
| parent | 61319bd9e2df08a5fdb103aaf4fa845bcb851ad9 (diff) | |
added filter tree test
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 ae9585f3..9318e602 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 0.365 - 3 4.624629e-01 1.085868e-02 1.936935e+00 0.554592 0.194583 2.208660e+02 1.000000e+00 0.520 - 4 3.384483e-01 4.246157e-04 1.726574e-01 0.520733 0.133178 3.415247e+01 1.000000e+00 0.716 - 5 3.184994e-01 7.930477e-05 6.343691e-02 0.751656 0.517330 6.775453e+01 1.000000e+00 0.946 - 6 3.024582e-01 2.887344e-06 1.460970e-02 0.657158 0.328843 3.618752e+01 1.000000e+00 1.220 - 7 2.967627e-01 4.279802e-06 3.517537e-03 0.645592 0.293725 1.585137e+01 1.000000e+00 1.517 - 8 2.952703e-01 2.241755e-06 1.631614e-03 0.527831 0.052654 5.802390e+00 1.000000e+00 1.848 - 9 2.950591e-01 7.095166e-07 1.546886e-03 0.199872 -0.608863 7.389087e-01 1.000000e+00 2.238 + 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 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 2.803435e-07 1.223611e-04 0.585419 0.171988 1.453111e-01 1.000000e+00 2.896 +10 2.948347e-01 2.803388e-07 1.223610e-04 0.585414 0.171988 1.453116e-01 1.000000e+00 2.147 |