ServerRun 39441
Creatorchuertas
Programmira-python +Hmbfs
DatasetLos tres mosqueteros
Task typeMulticlassClassification
Created2y62d ago
Done! Flag_green
20s
1449M
MulticlassClassification
19s
0.055
3s
0.046
1s

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Using Java: 1.7.0-ea
Safe Selection [Enabled]
Loading Data...
Instances Removed: 0 (823ms)
Data will be normalized
Evaluating Features...
5% (121ms)
10% (124ms)
15% (127ms)
20% (131ms)
25% (135ms)
30% (139ms)
35% (143ms)
40% (145ms)
45% (150ms)
50% (153ms)
55% (157ms)
60% (160ms)
65% (165ms)
70% (169ms)
75% (232ms)
80% (235ms)
85% (240ms)
90% (242ms)
95% (260ms)
Features Removed: 3 (Redundancy: 0)
Saving Optimized Training File...
5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% 
Train file saved in: 530ms
Generating Convertion Rules...
Rules generated in: 1ms
iteration 0: 7355 examples, avg loss=0.103195
iteration 1: 7355 examples, avg loss=0.103331
iteration 2: 7355 examples, avg loss=0.103331
iteration 3: 7355 examples, avg loss=0.103331
iteration 4: 7355 examples, avg loss=0.103331
iteration 5: 7355 examples, avg loss=0.103331
iteration 6: 7355 examples, avg loss=0.103331
iteration 7: 7355 examples, avg loss=0.103331
iteration 8: 7355 examples, avg loss=0.103331
iteration 9: 7355 examples, avg loss=0.103331
=== END program1: ./run learn ../dataset2/train --- OK [19s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
Using Java: 1.7.0-ea
Converting Test Data...
5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% 
Test data generated in: 1409ms
1.0
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [3s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s]

===== 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
Using Java: 1.7.0-ea
Converting Test Data...
5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% 
Test data generated in: 741ms
1.0
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	0m24.560s
user	0m23.173s
sys	0m0.932s

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