DEVELOPMENT... OpenML
Run
22336

Run 22336

Task 26 (Supervised Classification) nursery Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9745
Per class
F measure
0.9395
Per class
Kappa
0.9112
KB relative information score
11884.973
Mean absolute error
0.024
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
0.9399
Per class
Predictive accuracy
0.9394
Prior entropy
1.7176
Recall
0.9394
Per class
Relative absolute error
0.0878
Root mean prior squared error
0.3695
Root mean squared error
0.1376
Root relative squared error
0.3725
SciMark benchmark
946.9727[565.0277180558361013.9200573100866482.36378704342826914.66854765231311758.8835103978397]