 | Run 24723 |
| Creator | internal |
| Program | sgd-perceptron-stepsize0.5-iter5 |
| Dataset | testingbig |
| Task type | MulticlassClassification |
| Created | 324d6h ago |
Done! 
| BinaryClassification | |
| 3m52s | |
| 0.436 | |
| 2m20s | |
| 0.438 | |
| 51s |
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
} [1m10s, cum. 1m11s]
Iteration 0 {
numMistakes = 880358/2030000 = 0.434
} [18s, cum. 1m29s]
Iteration 1 {
numMistakes = 881961/2030000 = 0.434
} [16s, cum. 1m46s]
Iteration 2 {
numMistakes = 881947/2030000 = 0.434
} [11s, cum. 1m57s]
Iteration 3 {
numMistakes = 884053/2030000 = 0.435
} [15s, cum. 2m13s]
Iteration 4 {
numMistakes = 881936/2030000 = 0.434
} [16s, cum. 2m30s]
Writing parameters to params
} [2m31s]
=== END program2: ./run learn ../program1/data --- OK [152s]
=== END program1: ./run learn ../dataset3/train --- OK [232s]
===== 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 [75s]
=== 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
} [1m11s, cum. 1m12s]
Predicting [15s, cum. 1m27s]
} [1m27s]
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [89s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [140s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [136s]
===== 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 [32s]
=== 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
} [26s, cum. 27s]
Predicting [2.0s, cum. 29s]
} [29s]
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [30s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [51s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [55s]
real 12m3.608s
user 11m29.183s
sys 0m23.317s
Run specification 
Results
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