DEVELOPMENT... OpenML
Run
44026

Run 44026

Task 4305 (Supervised Classification) ailerons Uploaded 29-10-2014 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
0.9514
Per class
Build CPU time
235.9769
Build memory
932234468.16
F measure
0.8781
Per class
Kappa
0.7502
KB relative information score
102559.9522
Mean absolute error
0.1231
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
0.878
Per class
Predictive accuracy
0.8782
Prior entropy
0.9832
Recall
0.8782
Per class
Relative absolute error
0.252
Root mean prior squared error
0.4942
Root mean squared error
0.333
Root relative squared error
0.6739
SciMark benchmark
935.2997