DEVELOPMENT... OpenML
Run
39282

Run 39282

Task 1909 (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
0.921
Per class
Build CPU time
0.8149
Build memory
733585028.4
F measure
0.8609
Per class
Kappa
0.7185
KB relative information score
4950.4328
Mean absolute error
0.1388
Mean prior absolute error
0.494
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8609
Per class
Predictive accuracy
0.8609
Prior entropy
0.9913
Recall
0.8609
Per class
Relative absolute error
0.281
Root mean prior squared error
0.497
Root mean squared error
0.3589
Root relative squared error
0.7222
SciMark benchmark
945.8914