DEVELOPMENT... OpenML
Run
37595

Run 37595

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)_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
0.925
Per class
Build CPU time
0.4941
Build memory
124224039.28
F measure
0.8615
Per class
Kappa
0.7195
KB relative information score
4952.1145
Mean absolute error
0.1389
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
0.8615
Per class
Predictive accuracy
0.8614
Prior entropy
0.9913
Recall
0.8614
Per class
Relative absolute error
0.2811
Root mean prior squared error
0.497
Root mean squared error
0.3556
Root relative squared error
0.7155
SciMark benchmark
945.2151