MLcomp version alpha Statistics: 2081 users, 670 datasets, 390 programs, 18946 runs (0 queued, 0 running), 0 workers

Run 19760

Creator	internal
Program	FilteredClassifier_weka_nominal
Dataset	chromium-bugs-plain
Task type	MulticlassClassification
Created	348d12h ago

Status: Failed!

Note: this page autoupdates while a run is in progress

Reason	On ./run predict <in> <out>, your program (../program1) did not write to <out>.
Total Time
Max Memory Usage
Domain	MulticlassClassification
Learn time	4m55s
Train error
Predict train time	4m36s
Test error
Predict test time

Log file

Note: Some input files use unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
MulticlassClassification
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
	at weka.core.FastVector.addElement(FastVector.java:188)
	at weka.core.converters.ArffLoader$ArffReader.parseAttribute(ArffLoader.java:710)
	at weka.core.converters.ArffLoader$ArffReader.readHeader(ArffLoader.java:670)
	at weka.core.converters.ArffLoader$ArffReader.<init>(ArffLoader.java:163)
	at weka.core.converters.ArffLoader.getStructure(ArffLoader.java:979)
	at weka.core.converters.ArffLoader.getDataSet(ArffLoader.java:1007)
	at MainScript.loadData(MainScript.java:83)
	at MainScript.main(MainScript.java:22)
MulticlassClassification
=== END program1: ./run learn ../dataset2/train --- OK [295s]

===== 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 [7s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
java.io.FileNotFoundException: model_file (No such file or directory)
	at java.io.FileInputStream.open(Native Method)
	at java.io.FileInputStream.<init>(FileInputStream.java:137)
	at java.io.FileInputStream.<init>(FileInputStream.java:96)
	at weka.core.SerializationHelper.read(SerializationHelper.java:232)
	at MainScript.main(MainScript.java:47)
MulticlassClassification
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [276s]
Failed: On ./run predict <in> <out>, your program (../program1) did not write to <out>.

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) FilteredClassifier_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/meta/FilteredClassifier.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    Class for running an arbitrary classifier on data that has been passed through an arbitrary filter. Like the classifier, the structure of the filter is based exclusively on the training data and test instances will be processed by the filter without changing their structure.
    ---------------------
    
    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) chromium-bugs-plain:
  • (stripper:Program[Strip]) multiclass-utils: Validates and inspects a dataset in MulticlassClassification format.
  • (evaluator:Program[Evaluate]) classification-evaluator: Evaluates predictions of classification datasets (discrete outputs).

Results

• doTrain:
  • predict:
    • success: true
    • time: 276
  • strip:
    • success: true
    • time: 7
• exitCode: 0
• learn:
  • success: true
  • time: 295
• message: On ./run predict , your program (../program1) did not write to .
• success: false

Comments: