DEVELOPMENT... OpenML
Run
37831

Run 37831

Task 3895 (Supervised Classification) gina_prior 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)_I20
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
0.9624
Per class
Build CPU time
434.0404
Build memory
123061020.5859
F measure
0.9066
Per class
Kappa
0.8131
KB relative information score
2795.2003
Mean absolute error
0.0976
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9067
Per class
Predictive accuracy
0.9066
Prior entropy
0.9998
Recall
0.9066
Per class
Relative absolute error
0.1952
Root mean prior squared error
0.4999
Root mean squared error
0.2919
Root relative squared error
0.5838
SciMark benchmark
938.0657

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