DEVELOPMENT... OpenML
Run
38895

Run 38895

Task 4305 (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)_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
0.9482
Per class
Build CPU time
68.323
Build memory
963573693.36
F measure
0.8732
Per class
Kappa
0.74
KB relative information score
101266.1565
Mean absolute error
0.1276
Mean prior absolute error
0.4884
Number of instances
137500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8731
Per class
Predictive accuracy
0.8733
Prior entropy
0.9832
Recall
0.8733
Per class
Relative absolute error
0.2612
Root mean prior squared error
0.4942
Root mean squared error
0.3407
Root relative squared error
0.6894
SciMark benchmark
938.0657