DEVELOPMENT... OpenML
Run
38457

Run 38457

Task 4586 (Supervised Classification) ipums_la_99-small 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
0.8668
Per class
Build CPU time
19.3641
Build memory
326894559.7725
F measure
0.916
Per class
Kappa
0.1627
KB relative information score
19118.3714
Mean absolute error
0.0661
Mean prior absolute error
0.1203
Number of instances
88440
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9129
Per class
Predictive accuracy
0.9354
Prior entropy
0.3444
Recall
0.9354
Per class
Relative absolute error
0.5495
Root mean prior squared error
0.2452
Root mean squared error
0.2455
Root relative squared error
1.0012
SciMark benchmark
943.8925