 | Run 23287 |
| Creator | internal |
| Program | sgd-logistic-stepsize0.5-iter5 |
| Dataset | testingbig |
| Task type | MulticlassClassification |
| Created | 320d4h ago |
Done! 
| BinaryClassification | |
| 4m52s | |
| 0.354 | |
| 2m45s | |
| 0.356 | |
| 1m1s |
Log file
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset3/train
=== START program2: ./run learn ../program1/data
main() {
Reading examples from ../program1/data {
2030000 examples, 10368 features, 2 labels
} [1m26s, cum. 1m26s]
Iteration 0 {
numMistakes = 762684/2030000 = 0.376
} [23s, cum. 1m50s]
Iteration 1 {
numMistakes = 734429/2030000 = 0.362
} [21s, cum. 2m12s]
Iteration 2 {
numMistakes = 727482/2030000 = 0.358
} [21s, cum. 2m33s]
Iteration 3 {
numMistakes = 723893/2030000 = 0.357
} [21s, cum. 2m55s]
Iteration 4 {
numMistakes = 721611/2030000 = 0.355
} [23s, cum. 3m18s]
Writing parameters to params
} [3m19s]
=== END program2: ./run learn ../program1/data --- OK [200s]
=== END program1: ./run learn ../dataset3/train --- OK [292s]
===== 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 [85s]
=== 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 {
2030000 examples, 10368 features, 2 labels
} [1m27s, cum. 1m28s]
Predicting [19s, cum. 1m47s]
} [1m47s]
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [108s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [165s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [201s]
===== 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 [37s]
=== 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 {
870000 examples, 10368 features, 2 labels
} [32s, cum. 32s]
Predicting [2.3s, cum. 35s]
} [35s]
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [36s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [61s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [71s]
real 15m14.595s
user 8m42.229s
sys 0m17.441s
Run specification 
Results
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