DEVELOPMENT... OpenML
Run
38606

Run 38606

Task 4616 (Supervised Classification) ar4 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
0.7216
Per class
Build CPU time
0.4204
Build memory
715080755.1776
F measure
0.832
Per class
Kappa
0.4216
KB relative information score
387.9574
Mean absolute error
0.1639
Mean prior absolute error
0.3076
Number of instances
1070
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Predictive accuracy
0.8411
Prior entropy
0.707
Recall
0.8411
Per class
Relative absolute error
0.5329
Root mean prior squared error
0.3899
Root mean squared error
0.3887
Root relative squared error
0.997
SciMark benchmark
939.9671