DEVELOPMENT... OpenML
Run
164447

Run 164447

Task 3911 (Supervised Classification) ar4 Uploaded 17-02-2015 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)_I80
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
0.8402
Per class
F measure
0.832
Per class
Kappa
0.4216
KB relative information score
36.8264
Mean absolute error
0.1673
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Predictive accuracy
0.8411
Prior entropy
0.707
Recall
0.8411
Per class
Relative absolute error
0.5438
Root mean prior squared error
0.3899
Root mean squared error
0.3958
Root relative squared error
1.0153
SciMark benchmark
876.8277
UserCPU time millis
100
UserCPU time millis training
100