 | Run 24484 |
| Creator | internal |
| Program | sgd-perceptron-stepsize0.5-iter5 |
| Dataset | isolet |
| Task type | MulticlassClassification |
| Created | 320d13h ago |
| Download | Login required! |
Done! 
| MulticlassClassification | |
| 30s | |
| 0.035 | |
| 15s | |
| 0.060 | |
| 4s |
Log file
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
main() {
Reading examples from ../dataset2/train {
6238 examples, 617 features, 26 labels
} [10s, cum. 11s]
Iteration 0 {
numMistakes = 1215/6238 = 0.195
} [3.5s, cum. 14s]
Iteration 1 {
numMistakes = 454/6238 = 0.073
} [3.6s, cum. 18s]
Iteration 2 {
numMistakes = 349/6238 = 0.056
} [3.5s, cum. 21s]
Iteration 3 {
numMistakes = 274/6238 = 0.044
} [3.3s, cum. 25s]
Iteration 4 {
numMistakes = 246/6238 = 0.039
} [3.7s, cum. 28s]
Writing parameters to params
} [29s]
=== END program1: ./run learn ../dataset2/train --- OK [30s]
===== 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 [4s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
main() {
Reading parameters from params
Reading examples from ../program0/evalTrain.in {
6238 examples, 617 features, 26 labels
} [10s, cum. 10s]
Predicting [3.5s, cum. 14s]
} [14s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [15s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [4s]
===== 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 [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
main() {
Reading parameters from params
Reading examples from ../program0/evalTest.in {
1559 examples, 617 features, 26 labels
} [2.6s, cum. 3.0s]
Predicting
} [3.8s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [4s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]
real 1m1.903s
user 0m55.699s
sys 0m5.216s
Run specification 
Results
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