DEVELOPMENT... OpenML
Run
44801

Run 44801

Task 4551 (Supervised Classification) cmc Uploaded 30-10-2014 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
0.7581
Per class
Build CPU time
2.7771
Build memory
1714315761.5538
F measure
0.7077
Per class
Kappa
0.4001
KB relative information score
5940.5953
Mean absolute error
0.2908
Mean prior absolute error
0.4894
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7163
Per class
Predictive accuracy
0.7155
Prior entropy
0.9846
Recall
0.7155
Per class
Relative absolute error
0.5942
Root mean prior squared error
0.4946
Root mean squared error
0.4969
Root relative squared error
1.0045
SciMark benchmark
945.8425

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