DEVELOPMENT... OpenML
Run
164938

Run 164938

Task 2274 (Supervised Classification) meta_ensembles.arff 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)_I160
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
0.5412
Per class
F measure
0.5191
Per class
Kappa
0.1151
KB relative information score
7.5027
Mean absolute error
0.2761
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4677
Per class
Predictive accuracy
0.6081
Prior entropy
1.5899
Recall
0.6081
Per class
Relative absolute error
0.9509
Root mean prior squared error
0.3782
Root mean squared error
0.3849
Root relative squared error
1.0178
SciMark benchmark
911.3823