MLcomp version alpha Statistics: 2086 users, 670 datasets, 390 programs, 18946 runs (0 queued, 0 running), 0 workers

Run 11073

Creator	gchrupala
Program	sequor-plain
Dataset	sequence-conll-sample
Task type	SequenceTagging
Created	2y202d ago
Download	Login required!

Status: Done!

Total Time	1s
Max Memory Usage	328M
Domain	SequenceTagging
Learn time
Train acc.	1
Train F1	1
Predict train time
Test acc.	0.600
Test F1	0.571
Predict test time

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Param vector bounds: (I 0 3,I 2 40)
      Iter      Train    Heldout
         1     1.0000        NaN
         2     1.0000        NaN
         3     1.0000        NaN
         4     1.0000        NaN
         5     1.0000        NaN
         6     1.0000        NaN
         7     1.0000        NaN
         8     1.0000        NaN
         9     1.0000        NaN
        10     1.0000        NaN
=== END program1: ./run learn ../dataset2/train --- OK [0s]

===== 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
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== 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 [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	0m1.153s
user	0m0.356s
sys	0m0.136s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) sequor-plain: Perceptron-based sequence tagger. Does not extract any additional features.
  • (dataset:Dataset) sequence-conll-sample: Sample dataset for sanity checking.
  • (stripper:Program[Strip]) sequence-conll-utils: Validates and inspects SequenceTagging (CoNLL Shared Task) datasets.
  • (evaluator:Program[Evaluate]) sequence-conll-evaluator: Evaluator for SequenceTagging.

Results

• doTest:
  • evaluate:
    • accuracy: 0.6
    • errorRate: 0.4286
    • f1: 0.5714
    • precision: 0.5
    • recall: 0.6667
    • success: true
    • time: 1
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 0
• doTrain:
  • evaluate:
    • accuracy: 1.0
    • errorRate: 0.0
    • f1: 1.0
    • precision: 1.0
    • recall: 1.0
    • success: true
    • time: 0
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 0
• exitCode: 0
• learn:
  • success: true
  • time: 0
• success: true

Comments:

• 

  merugu.prathyusha (kmprathyusha92)
  company
  Posted at 04/19/2011

  its nice