DEVELOPMENT... OpenML
Run
36398

Run 36398

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)_I10
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
0.9263
Per class
Build CPU time
0.2841
Build memory
60009272.8
F measure
0.852
Per class
Kappa
0.6999
KB relative information score
484.8239
Mean absolute error
0.146
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
0.852
Per class
Predictive accuracy
0.8522
Prior entropy
0.9913
Recall
0.8522
Per class
Relative absolute error
0.2956
Root mean prior squared error
0.497
Root mean squared error
0.3641
Root relative squared error
0.7327
SciMark benchmark
945.0342