MLcomp version alpha Statistics: 2040 users, 638 datasets, 389 programs, 18663 runs (0 queued, 2 running), 2 workers

Run 25198

Creator	internal
Program	logistic-regression-lbfgs
Dataset	neut_0.-.02.tiny
Task type	MulticlassClassification
Created	317d23h ago

Status: Done!

Total Time
Max Memory Usage
Domain	BinaryClassification
Learn time	4s
Train error	0
Predict train time	1s
Test error	0.204
Predict test time	1s

Log file

Note: Maximizer.java uses unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset3/train
=== START program2: ./run learn ../program1/data
main() {
  Reading examples from ../program1/data {
    229 examples, 2802 features, 2 labels
  }
  Iteration 0: objective = -0.693, numMistakes = 159/229 = 0.694
  Iteration 0: objective = -35.083, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -31.575, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -28.418, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -25.577, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -23.020, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -20.719, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -18.648, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -16.785, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -15.107, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -13.598, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -12.240, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -11.018, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -9.918, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -8.929, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -8.038, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -7.237, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -6.516, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -5.868, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -5.285, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -4.760, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -4.288, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -3.864, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -3.483, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -3.141, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -2.833, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -2.557, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -2.309, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -2.087, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.888, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.709, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.550, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.408, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.282, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.170, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -1.070, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.983, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.906, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.839, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.780, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.730, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.687, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.651, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.620, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.595, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.575, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.559, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.547, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.539, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.533, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.529, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.528, numMistakes = 47/229 = 0.205
  Iteration 0: objective = -0.529, numMistakes = 47/229 = 0.205
  Iteration 1: objective = -0.528, numMistakes = 47/229 = 0.205
  Iteration 1: objective = -0.497, numMistakes = 55/229 = 0.240
  Iteration 1: objective = -0.474, numMistakes = 42/229 = 0.183
  Iteration 1: objective = -0.457, numMistakes = 33/229 = 0.144
  Iteration 1: objective = -0.445, numMistakes = 32/229 = 0.140
  Iteration 1: objective = -0.436, numMistakes = 31/229 = 0.135
  Iteration 1: objective = -0.430, numMistakes = 33/229 = 0.144
  Iteration 1: objective = -0.427, numMistakes = 32/229 = 0.140
  Iteration 1: objective = -0.426, numMistakes = 28/229 = 0.122
  Iteration 1: objective = -0.426, numMistakes = 29/229 = 0.127
  Iteration 2: objective = -0.426, numMistakes = 28/229 = 0.122
  Iteration 2: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 2: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 3: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 3: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 3: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 4: objective = -0.425, numMistakes = 28/229 = 0.122
  Iteration 4: objective = -0.423, numMistakes = 28/229 = 0.122
  Iteration 4: objective = -0.423, numMistakes = 28/229 = 0.122
  Iteration 5: objective = -0.423, numMistakes = 28/229 = 0.122
  Iteration 5: objective = -0.421, numMistakes = 28/229 = 0.122
  Iteration 5: objective = -0.421, numMistakes = 28/229 = 0.122
  Iteration 6: objective = -0.421, numMistakes = 28/229 = 0.122
  Iteration 6: objective = -0.417, numMistakes = 28/229 = 0.122
  Iteration 6: objective = -0.417, numMistakes = 28/229 = 0.122
  Iteration 7: objective = -0.417, numMistakes = 28/229 = 0.122
  Iteration 7: objective = -0.412, numMistakes = 27/229 = 0.118
  Iteration 7: objective = -0.412, numMistakes = 27/229 = 0.118
  Iteration 8: objective = -0.412, numMistakes = 27/229 = 0.118
  Iteration 8: objective = -0.405, numMistakes = 27/229 = 0.118
  Iteration 8: objective = -0.406, numMistakes = 27/229 = 0.118
  Iteration 9: objective = -0.405, numMistakes = 27/229 = 0.118
  Iteration 9: objective = -0.396, numMistakes = 26/229 = 0.114
  Iteration 9: objective = -0.397, numMistakes = 26/229 = 0.114
  Iteration 10: objective = -0.396, numMistakes = 26/229 = 0.114
  Iteration 10: objective = -0.384, numMistakes = 22/229 = 0.096
  Iteration 10: objective = -0.385, numMistakes = 22/229 = 0.096
  Iteration 11: objective = -0.384, numMistakes = 22/229 = 0.096
  Iteration 11: objective = -0.371, numMistakes = 18/229 = 0.079
  Iteration 11: objective = -0.372, numMistakes = 18/229 = 0.079
  Iteration 12: objective = -0.371, numMistakes = 18/229 = 0.079
  Iteration 12: objective = -0.353, numMistakes = 18/229 = 0.079
  Iteration 12: objective = -0.355, numMistakes = 17/229 = 0.074
  Iteration 13: objective = -0.353, numMistakes = 18/229 = 0.079
  Iteration 13: objective = -0.333, numMistakes = 17/229 = 0.074
  Iteration 13: objective = -0.335, numMistakes = 17/229 = 0.074
  Iteration 14: objective = -0.333, numMistakes = 17/229 = 0.074
  Iteration 14: objective = -0.306, numMistakes = 14/229 = 0.061
  Iteration 14: objective = -0.308, numMistakes = 14/229 = 0.061
  Iteration 15: objective = -0.306, numMistakes = 14/229 = 0.061
  Iteration 15: objective = -0.276, numMistakes = 15/229 = 0.066
  Iteration 15: objective = -0.279, numMistakes = 15/229 = 0.066
  Iteration 16: objective = -0.276, numMistakes = 15/229 = 0.066
  Iteration 16: objective = -0.244, numMistakes = 13/229 = 0.057
  Iteration 16: objective = -0.247, numMistakes = 13/229 = 0.057
  Iteration 17: objective = -0.244, numMistakes = 13/229 = 0.057
  Iteration 17: objective = -0.216, numMistakes = 11/229 = 0.048
  Iteration 17: objective = -0.219, numMistakes = 12/229 = 0.052
  Iteration 18: objective = -0.216, numMistakes = 11/229 = 0.048
  Iteration 18: objective = -0.183, numMistakes = 10/229 = 0.044
  Iteration 18: objective = -0.186, numMistakes = 10/229 = 0.044
  Iteration 19: objective = -0.183, numMistakes = 10/229 = 0.044
  Iteration 19: objective = -0.153, numMistakes = 6/229 = 0.026
  Iteration 19: objective = -0.155, numMistakes = 6/229 = 0.026
  Iteration 20: objective = -0.153, numMistakes = 6/229 = 0.026
  Iteration 20: objective = -0.122, numMistakes = 5/229 = 0.022
  Iteration 20: objective = -0.125, numMistakes = 5/229 = 0.022
  Iteration 21: objective = -0.122, numMistakes = 5/229 = 0.022
  Iteration 21: objective = -0.094, numMistakes = 5/229 = 0.022
  Iteration 21: objective = -0.097, numMistakes = 5/229 = 0.022
  Iteration 22: objective = -0.094, numMistakes = 5/229 = 0.022
  Iteration 22: objective = -0.069, numMistakes = 3/229 = 0.013
  Iteration 22: objective = -0.071, numMistakes = 3/229 = 0.013
  Iteration 23: objective = -0.069, numMistakes = 3/229 = 0.013
  Iteration 23: objective = -0.092, numMistakes = 3/229 = 0.013
  Iteration 23: objective = -0.082, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.074, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.068, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.063, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.059, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.057, numMistakes = 2/229 = 0.009
  Iteration 23: objective = -0.055, numMistakes = 1/229 = 0.004
  Iteration 23: objective = -0.055, numMistakes = 1/229 = 0.004
  Iteration 23: objective = -0.056, numMistakes = 1/229 = 0.004
  Iteration 24: objective = -0.055, numMistakes = 1/229 = 0.004
  Iteration 24: objective = -0.044, numMistakes = 1/229 = 0.004
  Iteration 24: objective = -0.045, numMistakes = 1/229 = 0.004
  Iteration 25: objective = -0.044, numMistakes = 1/229 = 0.004
  Iteration 25: objective = -0.033, numMistakes = 0/229 = 0
  Iteration 25: objective = -0.034, numMistakes = 0/229 = 0
  Iteration 26: objective = -0.033, numMistakes = 0/229 = 0
  Iteration 26: objective = -0.026, numMistakes = 0/229 = 0
  Iteration 26: objective = -0.026, numMistakes = 0/229 = 0
  Iteration 27: objective = -0.026, numMistakes = 0/229 = 0
  Iteration 27: objective = -0.030, numMistakes = 2/229 = 0.009
  Iteration 27: objective = -0.027, numMistakes = 1/229 = 0.004
  Iteration 27: objective = -0.024, numMistakes = 1/229 = 0.004
  Iteration 27: objective = -0.022, numMistakes = 1/229 = 0.004
  Iteration 27: objective = -0.021, numMistakes = 1/229 = 0.004
  Iteration 27: objective = -0.020, numMistakes = 0/229 = 0
  Iteration 27: objective = -0.020, numMistakes = 0/229 = 0
  Iteration 27: objective = -0.019, numMistakes = 0/229 = 0
  Iteration 27: objective = -0.020, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.019, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.021, numMistakes = 1/229 = 0.004
  Iteration 28: objective = -0.020, numMistakes = 1/229 = 0.004
  Iteration 28: objective = -0.018, numMistakes = 1/229 = 0.004
  Iteration 28: objective = -0.018, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 28: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 29: objective = -0.017, numMistakes = 0/229 = 0
  Iteration 29: objective = -0.012, numMistakes = 0/229 = 0
  Iteration 29: objective = -0.013, numMistakes = 0/229 = 0
  Iteration 30: objective = -0.012, numMistakes = 0/229 = 0
  Iteration 30: objective = -0.009, numMistakes = 0/229 = 0
  Iteration 30: objective = -0.010, numMistakes = 0/229 = 0
  Iteration 31: objective = -0.009, numMistakes = 0/229 = 0
  Iteration 31: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 31: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.009, numMistakes = 1/229 = 0.004
  Iteration 32: objective = -0.008, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.007, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.007, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.006, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 32: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 33: objective = -0.005, numMistakes = 0/229 = 0
  Iteration 33: objective = -0.004, numMistakes = 0/229 = 0
  Iteration 33: objective = -0.004, numMistakes = 0/229 = 0
  Iteration 34: objective = -0.004, numMistakes = 0/229 = 0
  Iteration 34: objective = -0.003, numMistakes = 0/229 = 0
  Iteration 34: objective = -0.003, numMistakes = 0/229 = 0
  Iteration 35: objective = -0.003, numMistakes = 0/229 = 0
  Iteration 35: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 35: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 36: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 36: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 36: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 37: objective = -0.002, numMistakes = 0/229 = 0
  Iteration 37: objective = -7.74e-04, numMistakes = 0/229 = 0
  Iteration 37: objective = -8.04e-04, numMistakes = 0/229 = 0
  Iteration 38: objective = -7.74e-04, numMistakes = 0/229 = 0
  Iteration 38: objective = -4.02e-04, numMistakes = 0/229 = 0
  Iteration 38: objective = -4.27e-04, numMistakes = 0/229 = 0
  Iteration 39: objective = -4.02e-04, numMistakes = 0/229 = 0
  Iteration 39: objective = -2.40e-04, numMistakes = 0/229 = 0
  Iteration 39: objective = -2.52e-04, numMistakes = 0/229 = 0
  Iteration 40: objective = -2.40e-04, numMistakes = 0/229 = 0
  Iteration 40: objective = -1.25e-04, numMistakes = 0/229 = 0
  Iteration 40: objective = -1.29e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.25e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -3.11e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -2.31e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.80e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.48e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.26e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.11e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -1.01e-04, numMistakes = 0/229 = 0
  Iteration 41: objective = -9.44e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.96e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.64e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.44e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.33e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.29e-05, numMistakes = 0/229 = 0
  Iteration 41: objective = -8.30e-05, numMistakes = 0/229 = 0
  Iteration 42: objective = -8.29e-05, numMistakes = 0/229 = 0
  Iteration 42: objective = -4.02e-05, numMistakes = 0/229 = 0
  Iteration 42: objective = -4.32e-05, numMistakes = 0/229 = 0
  Iteration 43: objective = -4.02e-05, numMistakes = 0/229 = 0
  Iteration 43: objective = -2.74e-05, numMistakes = 0/229 = 0
  Iteration 43: objective = -2.84e-05, numMistakes = 0/229 = 0
  Iteration 44: objective = -2.74e-05, numMistakes = 0/229 = 0
  Iteration 44: objective = -1.57e-05, numMistakes = 0/229 = 0
  Iteration 44: objective = -1.57e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -1.57e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -4.52e-04, numMistakes = 0/229 = 0
  Iteration 45: objective = -2.45e-04, numMistakes = 0/229 = 0
  Iteration 45: objective = -1.42e-04, numMistakes = 0/229 = 0
  Iteration 45: objective = -8.70e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -5.65e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -3.86e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -2.76e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -2.07e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -1.61e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -1.30e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -1.09e-05, numMistakes = 0/229 = 0
  Iteration 45: objective = -9.46e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -8.49e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -7.85e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -7.46e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -7.27e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -7.22e-06, numMistakes = 0/229 = 0
  Iteration 45: objective = -7.29e-06, numMistakes = 0/229 = 0
  Iteration 46: objective = -7.22e-06, numMistakes = 0/229 = 0
  Iteration 46: objective = -5.16e-06, numMistakes = 0/229 = 0
  Iteration 46: objective = -5.33e-06, numMistakes = 0/229 = 0
  Iteration 47: objective = -5.16e-06, numMistakes = 0/229 = 0
  Iteration 47: objective = -3.77e-06, numMistakes = 0/229 = 0
  Iteration 47: objective = -3.89e-06, numMistakes = 0/229 = 0
  Iteration 48: objective = -3.77e-06, numMistakes = 0/229 = 0
  Iteration 48: objective = -2.06e-06, numMistakes = 0/229 = 0
  Iteration 48: objective = -2.18e-06, numMistakes = 0/229 = 0
  Iteration 49: objective = -2.06e-06, numMistakes = 0/229 = 0
  Iteration 49: objective = -1.18e-06, numMistakes = 0/229 = 0
  Iteration 49: objective = -1.24e-06, numMistakes = 0/229 = 0
  Iteration 50: objective = -1.18e-06, numMistakes = 0/229 = 0
  Iteration 50: objective = -5.70e-07, numMistakes = 0/229 = 0
  Iteration 50: objective = -6.00e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -5.70e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -4.06e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.69e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.43e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.25e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.14e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.07e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.04e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.04e-07, numMistakes = 0/229 = 0
  Iteration 51: objective = -3.06e-07, numMistakes = 0/229 = 0
  Iteration 52: objective = -3.04e-07, numMistakes = 0/229 = 0
  Iteration 52: objective = -1.39e-07, numMistakes = 0/229 = 0
  Iteration 52: objective = -1.49e-07, numMistakes = 0/229 = 0
  Iteration 53: objective = -1.39e-07, numMistakes = 0/229 = 0
  Iteration 53: objective = -9.13e-08, numMistakes = 0/229 = 0
  Iteration 53: objective = -9.51e-08, numMistakes = 0/229 = 0
  Iteration 54: objective = -9.13e-08, numMistakes = 0/229 = 0
  Iteration 54: objective = -3.77e-08, numMistakes = 0/229 = 0
  Iteration 54: objective = -4.11e-08, numMistakes = 0/229 = 0
  Iteration 55: objective = -3.77e-08, numMistakes = 0/229 = 0
  Writing parameters to params
} [3.0s]
=== END program2: ./run learn ../program1/data --- OK [3s]
=== END program1: ./run learn ../dataset3/train --- OK [4s]

===== MAIN: predict/evaluate on train data =====
=== START program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in
=== END program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== START program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output
main() {
  Reading parameters from params
  Reading examples from ../program0/evalTrain.in {
    229 examples, 2802 features, 2 labels
  }
  Predicting
}
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [1s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [0s]

===== MAIN: predict/evaluate on test data =====
=== START program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in
=== END program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== START program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output
main() {
  Reading parameters from params
  Reading examples from ../program0/evalTest.in {
    98 examples, 2802 features, 2 labels
  }
  Predicting
}
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [1s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s]


real	0m8.106s
user	0m6.704s
sys	0m1.208s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) binary-to-multi: Allows multiclass classification to be run on binary classification datasets (trivial reduction).
    • (multiclassLearner:Program[MulticlassClassification]) logistic-regression-lbfgs: L2 regularized multiclass logistic regression optimized using LBFGS. Features are normalized to have mean 0 and variance 1 over examples on which the feature is active. Default: no regularization.
  • (dataset:Dataset) neut_0.-.02.tiny: Task: text sentiment analysis. Features: text term/freq counts, along with other real-valued features. Labels: binary sentiment score.
  • (stripper:Program[Strip]) binary-utils: Validates and inspects a dataset in BinaryClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

• doTest:
  • evaluate:
    • errorRate: 0.204081632653061
    • numErrors: 20
    • numExamples: 98
    • success: true
    • time: 0
  • predict:
    • predict:
      • success: true
      • time: 1
    • success: true
    • time: 1
  • strip:
    • success: true
    • time: 0
• doTrain:
  • evaluate:
    • errorRate: 0.0
    • numErrors: 0
    • numExamples: 229
    • success: true
    • time: 0
  • predict:
    • predict:
      • success: true
      • time: 1
    • success: true
    • time: 1
  • strip:
    • success: true
    • time: 0
• exitCode: 0
• learn:
  • learn:
    • success: true
    • time: 3
  • success: true
  • time: 4
• success: true

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