DEVELOPMENT... OpenML
Run
38890

Run 38890

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)_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
0.9748
Per class
Build CPU time
8.6567
Build memory
148755046.3035
F measure
0.9405
Per class
Kappa
0.8804
KB relative information score
62734.5998
Mean absolute error
0.0597
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
0.9407
Per class
Predictive accuracy
0.9405
Prior entropy
0.9973
Recall
0.9405
Per class
Relative absolute error
0.1199
Root mean prior squared error
0.4991
Root mean squared error
0.2397
Root relative squared error
0.4803
SciMark benchmark
939.6491