DEVELOPMENT... OpenML
Run
21692

Run 21692

Task 55 (Supervised Classification) vote Uploaded 19-06-2014 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)_I20
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
0.9917
Per class
F measure
0.9519
Per class
Kappa
0.899
KB relative information score
393.668
Mean absolute error
0.0439
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9526
Per class
Predictive accuracy
0.9517
Prior entropy
0.9627
Recall
0.9517
Per class
Relative absolute error
0.0926
Root mean prior squared error
0.4869
Root mean squared error
0.1973
Root relative squared error
0.4053
SciMark benchmark
948.4455[559.41007791153281015.5230404536866483.2321174670136914.34953743383911769.7127006129608]

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