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Run
23795

Run 23795

Task 31 (Supervised Classification) credit-g Uploaded 27-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I20
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
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
0.6777
Per class
F measure
0.7136
Per class
Kappa
0.3111
KB relative information score
273.6655
Mean absolute error
0.2845
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7111
Per class
Predictive accuracy
0.717
Prior entropy
0.8818
Recall
0.717
Per class
Relative absolute error
0.6772
Root mean prior squared error
0.4583
Root mean squared error
0.5141
Root relative squared error
1.122
SciMark benchmark
945.405[561.2100229485231014.1868590421574482.5806157404377906.75889678256981762.2887878368938]