DEVELOPMENT... OpenML
Run
46345

Run 46345

Task 4596 (Supervised Classification) gina_agnostic Uploaded 31-10-2014 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
0.9735
Per class
Build CPU time
2140.3135
Build memory
1029067477.14
F measure
0.9335
Per class
Kappa
0.867
KB relative information score
30019.7263
Mean absolute error
0.0674
Mean prior absolute error
0.4999
Number of instances
34680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9335
Per class
Predictive accuracy
0.9335
Prior entropy
0.9998
Recall
0.9335
Per class
Relative absolute error
0.1347
Root mean prior squared error
0.4999
Root mean squared error
0.247
Root relative squared error
0.4941
SciMark benchmark
944.5683