DEVELOPMENT... OpenML
Run
19361

Run 19361

Task 58 (Supervised Classification) waveform-5000 Uploaded 13-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I40
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9427
Per class
F measure
0.8368
Per class
Kappa
0.7555
KB relative information score
3889.2295
Mean absolute error
0.1086
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8372
Per class
Predictive accuracy
0.837
Prior entropy
1.5849
Recall
0.837
Per class
Relative absolute error
0.2443
Root mean prior squared error
0.4714
Root mean squared error
0.3171
Root relative squared error
0.6726
SciMark benchmark
946.0533[564.6619124438491013.919993711725481.49857166643204906.75889678256981763.4269028321794]

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