DEVELOPMENT... OpenML
Run
43602

Run 43602

Task 4601 (Supervised Classification) ada_agnostic 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
0.8945
Per class
Build CPU time
62.59
Build memory
167744213.9376
F measure
0.8429
Per class
Kappa
0.5674
KB relative information score
24513.5286
Mean absolute error
0.1551
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.842
Per class
Predictive accuracy
0.8482
Prior entropy
0.8085
Recall
0.8482
Per class
Relative absolute error
0.4157
Root mean prior squared error
0.4319
Root mean squared error
0.3683
Root relative squared error
0.8526
SciMark benchmark
934.1739