DEVELOPMENT... OpenML
Run
16013

Run 16013

Task 4 (Supervised Classification) labor Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I40
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9723
Per class
F measure
0.9289
Per class
Kappa
0.8423
KB relative information score
47.5375
Mean absolute error
0.0718
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9306
Per class
Predictive accuracy
0.9298
Prior entropy
0.9393
Recall
0.9298
Per class
Relative absolute error
0.1571
Root mean prior squared error
0.4773
Root mean squared error
0.2617
Root relative squared error
0.5484
SciMark benchmark
936.7784[553.37584626982781005.7176405886515476.37171629653386905.8189190131481742.608053324618]