DEVELOPMENT... OpenML
Run
38783

Run 38783

Task 29 (Supervised Classification) credit-approval 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
0.9191
Per class
Build CPU time
0.8039
Build memory
282190001.6
F measure
0.8593
Per class
Kappa
0.7151
KB relative information score
489.4256
Mean absolute error
0.1429
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8593
Per class
Predictive accuracy
0.8594
Prior entropy
0.9913
Recall
0.8594
Per class
Relative absolute error
0.2893
Root mean prior squared error
0.497
Root mean squared error
0.365
Root relative squared error
0.7344
SciMark benchmark
941.2105