DEVELOPMENT... OpenML
Run
37650

Run 37650

Task 4477 (Supervised Classification) chscase_census2 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
0.5139
Per class
Build CPU time
0.2912
Build memory
736946126.48
F measure
0.5032
Per class
Kappa
0.0062
KB relative information score
31.4866
Mean absolute error
0.4953
Mean prior absolute error
0.4999
Number of instances
4000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5032
Per class
Predictive accuracy
0.5033
Prior entropy
0.9998
Recall
0.5033
Per class
Relative absolute error
0.9908
Root mean prior squared error
0.4999
Root mean squared error
0.647
Root relative squared error
1.2942
SciMark benchmark
942.9632