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

Run 4759

Creator	internal
Program	MultiClassClassifier_weka_nominal
Dataset	heart-disease-cleveland
Task type	MulticlassClassification
Created	28d18h ago
Download	Login required!

Status: Failed!

Note: this page autoupdates while a run is in progress

Reason	(see end of log file)
Total Time	1s
Max Memory Usage	31M
Domain	MulticlassClassification
Learn time	1s
Train error
Predict train time	0s
Test error
Predict test time

Log file

./run:3: warning: parenthesize argument(s) for future version
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
./run:3: warning: parenthesize argument(s) for future version
MulticlassClassification
=== END program1: ./run learn ../dataset2/train --- OK [1s]

===== 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
./run:3: warning: parenthesize argument(s) for future version
java.lang.ArrayIndexOutOfBoundsException: 1
	at weka.classifiers.meta.MultiClassClassifier.distributionForInstance(MultiClassClassifier.java:627)
	at weka.classifiers.Classifier.classifyInstance(Classifier.java:84)
	at MainScript.main(MainScript.java:55)
MulticlassClassification
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
Failed: True file has 212 examples but prediction file has 0 examples
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- FAILED [0s]

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) MultiClassClassifier_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/MultiClassClassifier.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for increased accuracy.
    ---------------------
    
    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) heart-disease-cleveland: 303 examples, 15 features
  • (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:
  • evaluate:
    • message: True file has 212 examples but prediction file has 0 examples
    • success: false
    • time: 0
  • predict:
    • success: true
    • time: 0
  • strip:
    • success: true
    • time: 0
• exitCode: 1
• learn:
  • success: true
  • time: 1
• success: false

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