DEVELOPMENT... OpenML
Run
44870

Run 44870

Task 29 (Supervised Classification) credit-approval Uploaded 30-10-2014 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)_I160
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
0.9062
Per class
Build CPU time
3.7329
Build memory
1237560716
F measure
0.8623
Per class
Kappa
0.7213
KB relative information score
498.0532
Mean absolute error
0.1367
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
0.8624
Per class
Predictive accuracy
0.8623
Prior entropy
0.9913
Recall
0.8623
Per class
Relative absolute error
0.2767
Root mean prior squared error
0.497
Root mean squared error
0.3622
Root relative squared error
0.7288
SciMark benchmark
935.2997