diff options
| author | Jake Hofman <jhofman@gmail> | 2013-08-31 01:12:23 +0400 |
|---|---|---|
| committer | Jake Hofman <jhofman@gmail> | 2013-08-31 01:12:23 +0400 |
| commit | 2a0468b54ff3f12eb3e65079fdb2d7d24e3c14ad (patch) | |
| tree | 577d9735da55d4d613563a63b9aedfeb438a3ddb /test/test-sets/ref/0002c.stderr | |
| parent | a8414fbfcb8625d4374475995360234b5c776321 (diff) | |
| parent | 2d912920e5a6c730ff4b2b5275c3c04cb98736e3 (diff) | |
mf merge complete, nn test acting up
Diffstat (limited to 'test/test-sets/ref/0002c.stderr')
| -rw-r--r-- | test/test-sets/ref/0002c.stderr | 40 |
1 files changed, 20 insertions, 20 deletions
diff --git a/test/test-sets/ref/0002c.stderr b/test/test-sets/ref/0002c.stderr index 82e1cfaf..cd99e74a 100644 --- a/test/test-sets/ref/0002c.stderr +++ b/test/test-sets/ref/0002c.stderr @@ -9,27 +9,27 @@ Reading datafile = train-sets/0002.dat num sources = 1 average since example example current current current loss last counter weight label predict features -0.003238 0.003238 3 3.0 0.5498 0.4859 15 -0.023991 0.044745 6 6.0 0.2681 0.5733 15 -0.025514 0.027340 11 11.0 0.4315 0.5098 15 -0.039356 0.053198 22 22.0 0.5519 0.4656 15 -0.029043 0.018730 44 44.0 0.5514 0.5175 15 -0.026338 0.023570 87 87.0 0.5140 0.4811 15 -0.023165 0.019991 174 174.0 0.5596 0.4556 15 -0.018138 0.013112 348 348.0 0.5475 0.4087 15 -0.014870 0.011601 696 696.0 0.3421 0.7525 15 -0.013755 0.012641 1392 1392.0 0.4996 0.4691 15 -0.011204 0.008653 2784 2784.0 0.5090 0.4431 15 -0.009764 0.008324 5568 5568.0 0.6413 0.7044 15 -0.008678 0.007592 11135 11135.0 0.3869 0.4372 15 -0.008074 0.007470 22269 22269.0 0.5063 0.4477 15 -0.011837 0.015601 44537 44537.0 0.4905 0.3856 15 +0.003278 0.003278 3 3.0 0.5498 0.4854 15 +0.024311 0.045343 6 6.0 0.2681 0.5754 15 +0.025813 0.027616 11 11.0 0.4315 0.5104 15 +0.039711 0.053610 22 22.0 0.5519 0.4650 15 +0.029343 0.018975 44 44.0 0.5514 0.5169 15 +0.026609 0.023811 87 87.0 0.5140 0.4809 15 +0.023397 0.020186 174 174.0 0.5596 0.4550 15 +0.018322 0.013246 348 348.0 0.5475 0.4075 15 +0.015026 0.011730 696 696.0 0.3421 0.7545 15 +0.013894 0.012762 1392 1392.0 0.4996 0.4691 15 +0.011295 0.008697 2784 2784.0 0.5090 0.4428 15 +0.009821 0.008347 5568 5568.0 0.6413 0.7065 15 +0.008717 0.007612 11135 11135.0 0.3869 0.4381 15 +0.008073 0.007430 22269 22269.0 0.5063 0.4481 15 +0.011797 0.015520 44537 44537.0 0.4905 0.3865 15 finished run number of examples = 74746 -weighted example sum = 6.952e+04 -weighted label sum = 3.511e+04 -average loss = 0.01063 -best constant = 0.5051 -best constant's loss = 0.25 +weighted example sum = 69521 +weighted label sum = 35113.3 +average loss = 0.0106127 +best constant = 0.505067 +best constant's loss = 0.249974 total feature number = 1119986 |