MLcomp version alpha Statistics: 1403 users, 461 datasets, 360 programs, 16577 runs (0 queued, 0 running), 0 workers

Run 2814

Creator	internal
Program	DMNBtext_weka_nominal
Dataset	Dexter_train
Task type	MulticlassClassification
Created	28d18h ago
Download	Login required!

Status: Done!

Total Time	1s
Max Memory Usage	37M
Domain	BinaryClassification
Learn time	2s
Train error	0
Predict train time	2s
Test error	0.067
Predict test time	3s

Log file

./run:3: warning: parenthesize argument(s) for future version
Note: ./weka/classifiers/bayes/DMNBtext.java uses unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
MulticlassClassification
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset3/train
=== START program2: ./run learn ../program1/data
./run:3: warning: parenthesize argument(s) for future version
MulticlassClassification
=== END program2: ./run learn ../program1/data --- OK [2s]
=== END program1: ./run learn ../dataset3/train --- OK [2s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
=== START program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output
./run:3: warning: parenthesize argument(s) for future version
MulticlassClassification
=== END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [2s]
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [2s]
=== 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 [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
=== START program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output
./run:3: warning: parenthesize argument(s) for future version
MulticlassClassification
=== END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [3s]
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [3s]
=== START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out
=== END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s]


real	0m8.161s
user	0m3.840s
sys	0m3.516s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) binary-to-multi: Allows multiclass classification to be run on binary classification datasets (trivial reduction).
    • (multiclassLearner:Program[MulticlassClassification]) DMNBtext_weka_nominal: This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/bayes/DMNBtext.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
      
      ---------------------
      Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,Charles X. Ling,Stan Matwin: Discriminative Parameter Learning for Bayesian Networks. In: ICML 2008', 2008. The core equation for this classifier: P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule) where Ci is class i and D is a document.
      ---------------------
      
      NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters
      
      NOTE: WEKA's Classifiers read a data in the .arff format. For Multiclass datasets, the SVMlight format converted to .arff multiclass format so they can be read by WEKA programs
  • (dataset:Dataset) Dexter_train: This is the training set of the Dexter dataset used in the feature selection challenge, see http://www.nipsfsc.ecs.soton.ac.uk/
  • (stripper:Program[Strip]) binary-utils: Validates and inspects a dataset in BinaryClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

• doTest:
  • evaluate:
    • errorRate: 0.0666666666666667
    • numErrors: 6
    • numExamples: 90
    • success: true
    • time: 0
  • predict:
    • predict:
      • success: true
      • time: 3
    • success: true
    • time: 3
  • strip:
    • success: true
    • time: 0
• doTrain:
  • evaluate:
    • errorRate: 0.0
    • numErrors: 0
    • numExamples: 210
    • success: true
    • time: 0
  • predict:
    • predict:
      • success: true
      • time: 2
    • success: true
    • time: 2
  • strip:
    • success: true
    • time: 0
• exitCode: 0
• learn:
  • learn:
    • success: true
    • time: 2
  • success: true
  • time: 2
• success: true

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