DEVELOPMENT... OpenML
Run
40096

Run 40096

Task 4616 (Supervised Classification) ar4 Uploaded 28-10-2014 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)_I80
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
0.7038
Per class
Build CPU time
0.6516
Build memory
964535609.0916
F measure
0.8339
Per class
Kappa
0.4257
KB relative information score
400.11
Mean absolute error
0.161
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
0.8302
Per class
Predictive accuracy
0.8439
Prior entropy
0.707
Recall
0.8439
Per class
Relative absolute error
0.5236
Root mean prior squared error
0.3899
Root mean squared error
0.3851
Root relative squared error
0.9876
SciMark benchmark
938.0657