DEVELOPMENT... OpenML
Run
44545

Run 44545

Task 4596 (Supervised Classification) gina_agnostic Uploaded 30-10-2014 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
0.971
Per class
Build CPU time
1075.3954
Build memory
1013291423.1776
F measure
0.9185
Per class
Kappa
0.8369
KB relative information score
28978.7874
Mean absolute error
0.0823
Mean prior absolute error
0.4999
Number of instances
34680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9185
Per class
Predictive accuracy
0.9185
Prior entropy
0.9998
Recall
0.9185
Per class
Relative absolute error
0.1647
Root mean prior squared error
0.4999
Root mean squared error
0.2701
Root relative squared error
0.5403
SciMark benchmark
944.7154