DEVELOPMENT... OpenML
Run
23931

Run 23931

Task 42 (Supervised Classification) haberman Uploaded 29-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptr on(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.623
Per class
F measure
0.6889
Per class
Kappa
0.1526
KB relative information score
11.5327
Mean absolute error
0.355
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.686
Per class
Predictive accuracy
0.7288
Prior entropy
0.836
Recall
0.7288
Per class
Relative absolute error
0.9102
Root mean prior squared error
0.4412
Root mean squared error
0.4468
Root relative squared error
1.0127
SciMark benchmark
861.9023[491.8896328605724950.643723972525416.9871083947593791.01994146010721658.9713356926054]