DEVELOPMENT... OpenML
Run
21087

Run 21087

Task 2075 (Supervised Classification) abalone Uploaded 18-06-2014 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
0.7483
Per class
F measure
0.2394
Per class
Kappa
0.1624
KB relative information score
995.6076
Mean absolute error
0.0563
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.237
Per class
Predictive accuracy
0.2653
Prior entropy
3.6268
Recall
0.2653
Per class
Relative absolute error
0.911
Root mean prior squared error
0.1757
Root mean squared error
0.1689
Root relative squared error
0.9611
SciMark benchmark
931.3656[560.12868580782781012.3220633477529477.2185884444444876.14970245967961731.008996151473]

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