DEVELOPMENT... OpenML
Run
21517

Run 21517

Task 9 (Supervised Classification) autos Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I160
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.9178
Per class
F measure
0.8684
Per class
Kappa
0.8287
KB relative information score
169.1165
Mean absolute error
0.0377
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8699
Per class
Predictive accuracy
0.8683
Prior entropy
2.3268
Recall
0.8683
Per class
Relative absolute error
0.1707
Root mean prior squared error
0.3318
Root mean squared error
0.1916
Root relative squared error
0.5774
SciMark benchmark
938.9615[559.76915123019011008.3490290617938470.73295553974066908.32989414330441747.6266666666663]