MLcomp version alpha Statistics: 2085 users, 670 datasets, 390 programs, 18946 runs (0 queued, 0 running), 0 workers

Run 27471

Creator	evolk
Program	MultilayerPerceptron_weka_nominal
Dataset	petals_5
Task type	MulticlassClassification
Created	313d13h ago

Status: Done!

Total Time	2h0m
Max Memory Usage	418M
Domain	MulticlassClassification
Learn time	1h56m
Train error	0.545
Predict train time	2m13s
Test error	0.593
Predict test time	56s

Log file

Note: ./weka/classifiers/functions/MultilayerPerceptron.java uses unchecked or unsafe operations.
Note: Recompile with -Xlint:unchecked for details.
MulticlassClassification
===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
MulticlassClassification
=== END program1: ./run learn ../dataset2/train --- OK [7016s]

===== 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 [1s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
MulticlassClassification
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [133s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [4s]

===== 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
MulticlassClassification
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [56s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s]


real	120m17.993s
user	117m45.298s
sys	0m30.326s

Run specification

• supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
  • (learner:Program) MultilayerPerceptron_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/functions/MultilayerPerceptron.java' from WEKA's libraries. The following description was taken from this classes JavaDoc information:
    
    ---------------------
    A Classifier that uses backpropagation to classify instances. This network can be built by hand, created by an algorithm or both. The network can also be monitored and modified during training time. The nodes in this network are all sigmoid (except for when the class is numeric in which case the the output nodes become unthresholded linear units).
    ---------------------
    
    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) petals_5:
  • (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

• doTest:
  • evaluate:
    • errorRate: 0.592867559326528
    • numErrors: 8944
    • numExamples: 15086
    • success: true
    • time: 2
  • predict:
    • success: true
    • time: 56
  • strip:
    • success: true
    • time: 1
• doTrain:
  • evaluate:
    • errorRate: 0.545183375472288
    • numErrors: 19191
    • numExamples: 35201
    • success: true
    • time: 4
  • predict:
    • success: true
    • time: 133
  • strip:
    • success: true
    • time: 1
• exitCode: 0
• learn:
  • success: true
  • time: 7016
• success: true

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