DEVELOPMENT... OpenML
Run
41186

Run 41186

Task 2936 (Supervised Classification) adult 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)_I80
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
0.9051
Per class
Build CPU time
247.0268
Build memory
1317751408.6665
F measure
0.8468
Per class
Kappa
0.5657
KB relative information score
261095.6809
Mean absolute error
0.152
Mean prior absolute error
0.3641
Number of instances
488420
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8461
Per class
Predictive accuracy
0.8528
Prior entropy
0.7939
Recall
0.8528
Per class
Relative absolute error
0.4176
Root mean prior squared error
0.4266
Root mean squared error
0.3537
Root relative squared error
0.8289
SciMark benchmark
941.9633