 | Run 26525 |
| Creator | internal |
| Program | sgd-logistic-stepsizeAdaGrad-iter10 |
| Dataset | Diabetes |
| Task type | MulticlassClassification |
| Created | 322d14h ago |
Done! 
| BinaryClassification | |
| 1s | |
| 0.450 | |
| 0s | |
| 0.452 | |
| 0s |
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 {
538 examples, 8 features, 2 labels
}
Iteration 0 {
numMistakes = 233/538 = 0.433
}
Iteration 1 {
numMistakes = 222/538 = 0.413
}
Iteration 2 {
numMistakes = 208/538 = 0.387
}
Iteration 3 {
numMistakes = 216/538 = 0.401
}
Iteration 4 {
numMistakes = 213/538 = 0.396
}
Iteration 5 {
numMistakes = 197/538 = 0.366
}
Iteration 6 {
numMistakes = 197/538 = 0.366
}
Iteration 7 {
numMistakes = 232/538 = 0.431
}
Iteration 8 {
numMistakes = 215/538 = 0.400
}
Iteration 9 {
numMistakes = 221/538 = 0.411
}
Writing parameters to params
}
=== END program2: ./run learn ../program1/data --- OK [0s]
=== END program1: ./run learn ../dataset3/train --- OK [1s]
===== 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 [1s]
=== 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 {
538 examples, 8 features, 2 labels
}
Predicting
}
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [0s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out
=== END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [0s]
===== 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 [1s]
=== 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 {
230 examples, 8 features, 2 labels
}
Predicting
}
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [0s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s]
real 0m13.796s
user 0m2.188s
sys 0m0.844s
Run specification 
Results
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