DEVELOPMENT... OpenML
Run
24749

Run 24749

Task 31 (Supervised Classification) credit-g Uploaded 16-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I20
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.5457
Per class
F measure
0.6201
Per class
Kappa
0.0591
KB relative information score
96.0595
Mean absolute error
0.3539
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
0.6077
Per class
Predictive accuracy
0.65
Prior entropy
0.8818
Recall
0.65
Per class
Relative absolute error
0.8424
Root mean prior squared error
0.4583
Root mean squared error
0.5527
Root relative squared error
1.2061
SciMark benchmark
898.7855[537.8478641955553962.0344422444904458.8640441814602861.46566374894451673.7153889608276]