DEVELOPMENT... OpenML
Run
21012

Run 21012

Task 15 (Supervised Classification) breast-w Uploaded 18-06-2014 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)_I160
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
0.9876
Per class
F measure
0.9571
Per class
Kappa
0.9052
KB relative information score
631.0917
Mean absolute error
0.0418
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9572
Per class
Predictive accuracy
0.9571
Prior entropy
0.9297
Recall
0.9571
Per class
Relative absolute error
0.0926
Root mean prior squared error
0.4753
Root mean squared error
0.1944
Root relative squared error
0.409
SciMark benchmark
917.3998[558.5144281263492990.9770738537142471.76705325224475897.13889380802831668.6016896274757]

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