DEVELOPMENT... OpenML
Run
43936

Run 43936

Task 259 (Supervised Classification) credit-approval Uploaded 29-10-2014 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
0.9036
Per class
Build CPU time
3.388
Build memory
1225362200
F measure
0.8503
Per class
Kappa
0.7004
KB relative information score
161.2987
Mean absolute error
0.147
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8509
Per class
Predictive accuracy
0.8502
Prior entropy
0.9913
Recall
0.8502
Per class
Relative absolute error
0.2953
Root mean prior squared error
0.5008
Root mean squared error
0.3763
Root relative squared error
0.7513
SciMark benchmark
943.404