DEVELOPMENT... OpenML
Run
37012

Run 37012

Task 4373 (Supervised Classification) delta_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)_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
0.9737
Per class
Build CPU time
4.4979
Build memory
1090213638.4758
F measure
0.9404
Per class
Kappa
0.8802
KB relative information score
62686.6832
Mean absolute error
0.0601
Mean prior absolute error
0.4981
Number of instances
71290
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9406
Per class
Predictive accuracy
0.9404
Prior entropy
0.9973
Recall
0.9404
Per class
Relative absolute error
0.1207
Root mean prior squared error
0.4991
Root mean squared error
0.2405
Root relative squared error
0.4818
SciMark benchmark
942.6202