DEVELOPMENT... OpenML
Run
36092

Run 36092

Task 2936 (Supervised Classification) adult 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
0.891
Per class
Build CPU time
35.7114
Build memory
1178225639.5797
F measure
0.8358
Per class
Kappa
0.5298
KB relative information score
252475.583
Mean absolute error
0.1567
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
0.8369
Per class
Predictive accuracy
0.845
Prior entropy
0.7939
Recall
0.845
Per class
Relative absolute error
0.4306
Root mean prior squared error
0.4266
Root mean squared error
0.3778
Root relative squared error
0.8854
SciMark benchmark
942.3742

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