DEVELOPMENT... OpenML
Run
38114

Run 38114

Task 4565 (Supervised Classification) balance-scale 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)_I20
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
0.9926
Per class
Build CPU time
0.2381
Build memory
1010020763.209
F measure
0.9537
Per class
Kappa
0.9068
KB relative information score
5626.4921
Mean absolute error
0.0499
Mean prior absolute error
0.4969
Number of instances
6250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9538
Per class
Predictive accuracy
0.9538
Prior entropy
0.9956
Recall
0.9538
Per class
Relative absolute error
0.1005
Root mean prior squared error
0.4985
Root mean squared error
0.2014
Root relative squared error
0.404
SciMark benchmark
941.5865

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