DEVELOPMENT... OpenML
Run
15529

Run 15529

Task 26 (Supervised Classification) nursery Uploaded 04-06-2014 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)_I40
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
0.9234
Per class
F measure
0.8218
Per class
Kappa
0.7506
KB relative information score
5341.6361
Mean absolute error
0.1874
Mean prior absolute error
0.273
Number of instances
12960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8125
Per class
Predictive accuracy
0.8316
Prior entropy
1.7176
Recall
0.8316
Per class
Relative absolute error
0.6862
Root mean prior squared error
0.3695
Root mean squared error
0.2641
Root relative squared error
0.7147
SciMark benchmark
944.4506[567.41727621999961012.5880246437401483.449727694041911.17140496421141747.6266666666663]