DEVELOPMENT... OpenML
Run
40304

Run 40304

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)_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
0.9503
Per class
Build CPU time
122.1866
Build memory
1230212958.96
F measure
0.8746
Per class
Kappa
0.7429
KB relative information score
101685.99
Mean absolute error
0.1261
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
0.8745
Per class
Predictive accuracy
0.8747
Prior entropy
0.9832
Recall
0.8747
Per class
Relative absolute error
0.2582
Root mean prior squared error
0.4942
Root mean squared error
0.3382
Root relative squared error
0.6844
SciMark benchmark
909.9339