DEVELOPMENT... OpenML
Run
43976

Run 43976

Task 4616 (Supervised Classification) ar4 Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.6965
Per class
Build CPU time
1.2681
Build memory
2187774416.4411
F measure
0.8322
Per class
Kappa
0.4185
KB relative information score
397.4689
Mean absolute error
0.1615
Mean prior absolute error
0.3076
Number of instances
1070
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8286
Per class
Predictive accuracy
0.843
Prior entropy
0.707
Recall
0.843
Per class
Relative absolute error
0.5253
Root mean prior squared error
0.3899
Root mean squared error
0.3873
Root relative squared error
0.9934
SciMark benchmark
946.2416