 | Run 26855 |
| Creator | internal |
| Program | sgd-logistic-stepsizeAdaGrad-iter10-dropout |
| Dataset | dominionstats - large |
| Task type | MulticlassClassification |
| Created | 319d3h ago |
| Download | Login required! |
Done! 
| BinaryClassification | |
| 48m15s | |
| 0.506 | |
| 32s | |
| 0.506 | |
| 15s |
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 {
193657 examples, 520 features, 2 labels
} [22s, cum. 22s]
Iteration 0 {
numMistakes = 48383.21000086983/193657 = 0.250
} [4m48s, cum. 5m11s]
Iteration 1 {
numMistakes = 48317.2700008564/193657 = 0.249
} [4m43s, cum. 9m54s]
Iteration 2 {
numMistakes = 48420.52000087743/193657 = 0.250
} [4m44s, cum. 14m39s]
Iteration 3 {
numMistakes = 48417.23000087676/193657 = 0.250
} [4m44s, cum. 19m24s]
Iteration 4 {
numMistakes = 48452.08000088386/193657 = 0.250
} [4m43s, cum. 24m8s]
Iteration 5 {
numMistakes = 48392.51000087173/193657 = 0.250
} [4m44s, cum. 28m52s]
Iteration 6 {
numMistakes = 48372.51000086765/193657 = 0.250
} [4m43s, cum. 33m36s]
Iteration 7 {
numMistakes = 48332.46000085949/193657 = 0.250
} [4m44s, cum. 38m20s]
Iteration 8 {
numMistakes = 48323.60000085769/193657 = 0.250
} [4m44s, cum. 43m5s]
Iteration 9 {
numMistakes = 48558.14000090547/193657 = 0.251
} [4m44s, cum. 47m49s]
Writing parameters to params
} [47m49s]
=== END program2: ./run learn ../program1/data --- OK [2870s]
=== END program1: ./run learn ../dataset3/train --- OK [2895s]
===== 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 [5s]
=== 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 {
193657 examples, 520 features, 2 labels
} [22s, cum. 22s]
Predicting [2.9s, cum. 25s]
} [25s]
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [26s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [32s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [17s]
===== 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 [2s]
=== 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 {
82996 examples, 520 features, 2 labels
} [10s, cum. 11s]
Predicting
} [11s]
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [12s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [15s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [7s]
real 49m35.783s
user 48m47.467s
sys 0m12.677s
Run specification 
Results
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