DEVELOPMENT... OpenML
Run
19509

Run 19509

Task 29 (Supervised Classification) credit-approval Uploaded 16-06-2014 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
0.8709
Per class
F measure
0.8184
Per class
Kappa
0.6317
KB relative information score
433.056
Mean absolute error
0.1843
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8185
Per class
Predictive accuracy
0.8188
Prior entropy
0.9913
Recall
0.8188
Per class
Relative absolute error
0.3731
Root mean prior squared error
0.497
Root mean squared error
0.3939
Root relative squared error
0.7926
SciMark benchmark
948.3881[569.45499857552561014.1867954103211483.2321174670136907.0727062654921767.9939646936223]