DEVELOPMENT... OpenML
Run
41291

Run 41291

Task 3837 (Supervised Classification) hayes-roth 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)_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
0.9089
Per class
Build CPU time
0.1848
Build memory
1629460630.6061
F measure
0.7958
Per class
Kappa
0.5702
KB relative information score
75.4034
Mean absolute error
0.1986
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7963
Per class
Predictive accuracy
0.7955
Prior entropy
0.9635
Recall
0.7955
Per class
Relative absolute error
0.4186
Root mean prior squared error
0.4869
Root mean squared error
0.4173
Root relative squared error
0.8571
SciMark benchmark
943.404

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