DEVELOPMENT... OpenML
Run
38886

Run 38886

Task 3600 (Supervised Classification) ailerons 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)_I40
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
0.9497
Per class
Build CPU time
117.6477
Build memory
88864232
F measure
0.8742
Per class
Kappa
0.7421
KB relative information score
10163.4663
Mean absolute error
0.1263
Mean prior absolute error
0.4884
Number of instances
13750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8741
Per class
Predictive accuracy
0.8743
Prior entropy
0.9832
Recall
0.8743
Per class
Relative absolute error
0.2587
Root mean prior squared error
0.4942
Root mean squared error
0.3392
Root relative squared error
0.6863
SciMark benchmark
944.7154