DEVELOPMENT... OpenML
Run
162874

Run 162874

Task 3794 (Supervised Classification) disclosure_z Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5067
Per class
F measure
0.5143
Per class
Kappa
0.0286
KB relative information score
5.5573
Mean absolute error
0.4951
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.516
Per class
Predictive accuracy
0.5196
Prior entropy
0.9981
Recall
0.5196
Per class
Relative absolute error
0.9929
Root mean prior squared error
0.4993
Root mean squared error
0.5412
Root relative squared error
1.0838
SciMark benchmark
922.9039
UserCPU time millis
40
UserCPU time millis training
40