DEVELOPMENT... OpenML
Run
44492

Run 44492

Task 4468 (Supervised Classification) chscase_census6 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
0.4948
Per class
Build CPU time
1.7319
Build memory
322253297.6
F measure
0.5197
Per class
Kappa
0.0015
KB relative information score
52.9085
Mean absolute error
0.4723
Mean prior absolute error
0.4848
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
0.516
Per class
Predictive accuracy
0.53
Prior entropy
0.978
Recall
0.53
Per class
Relative absolute error
0.9743
Root mean prior squared error
0.4923
Root mean squared error
0.6675
Root relative squared error
1.3559
SciMark benchmark
946.2416