 | Run 26494 |
| Creator | internal |
| Program | sgd-logistic-stepsizeAdaGrad-iter10 |
| Dataset | chromium-bugs-wordclass |
| Task type | MulticlassClassification |
| Created | 323d16h ago |
Done! 
| MulticlassClassification | |
| 16m57s | |
| 0.001 | |
| 3m30s | |
| 0.523 | |
| 3m29s |
Log file
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
main() {
Reading examples from ../dataset2/train {
26819 examples, 932661 features, 35 labels
} [35s, cum. 35s]
Iteration 0 {
numMistakes = 15180/26819 = 0.566
} [1m27s, cum. 2m10s]
Iteration 1 {
numMistakes = 785/26819 = 0.029
} [1m28s, cum. 3m39s]
Iteration 2 {
numMistakes = 151/26819 = 0.006
} [1m26s, cum. 5m5s]
Iteration 3 {
numMistakes = 82/26819 = 0.003
} [1m26s, cum. 6m32s]
Iteration 4 {
numMistakes = 69/26819 = 0.003
} [1m27s, cum. 7m59s]
Iteration 5 {
numMistakes = 63/26819 = 0.002
} [1m28s, cum. 9m28s]
Iteration 6 {
numMistakes = 53/26819 = 0.002
} [1m25s, cum. 10m54s]
Iteration 7 {
numMistakes = 52/26819 = 0.002
} [1m28s, cum. 12m22s]
Iteration 8 {
numMistakes = 51/26819 = 0.002
} [1m28s, cum. 13m50s]
Iteration 9 {
numMistakes = 53/26819 = 0.002
} [1m26s, cum. 15m16s]
Writing parameters to params [1m38s, cum. 16m55s]
} [16m55s]
=== END program1: ./run learn ../dataset2/train --- OK [1017s]
===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [2s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
main() {
Reading parameters from params [2m42s, cum. 2m42s]
Reading examples from ../program0/evalTrain.in {
26819 examples, 932661 features, 35 labels
} [26s, cum. 3m8s]
Predicting [20s, cum. 3m29s]
} [3m29s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [210s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [10s]
===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [2s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
main() {
Reading parameters from params [2m41s, cum. 2m41s]
Reading examples from ../program0/evalTest.in {
26820 examples, 932661 features, 35 labels
} [26s, cum. 3m7s]
Predicting [20s, cum. 3m28s]
} [3m28s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [209s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [10s]
real 24m22.154s
user 13m57.024s
sys 0m19.333s
Run specification 
Results
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