DEVELOPMENT... OpenML
Run
62208

Run 62208

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 16-11-2014 by Felicia West
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Flow

weka.MultiBoostAB_SPegasos(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4
weka.MultiBoostAB_SPegasos(2)_C3
weka.MultiBoostAB_SPegasos(2)_P100
weka.MultiBoostAB_SPegasos(2)_S1
weka.MultiBoostAB_SPegasos(2)_I20
weka.MultiBoostAB_SPegasos(2)_Wweka.classifiers.functions.SPegasos

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
0.8355
Per class
Build CPU time
163.7849
Build memory
2583575758.9697
F measure
0.8602
Per class
Kappa
0.1333
KB relative information score
1445.4158
Mean absolute error
0.1144
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8543
Per class
Predictive accuracy
0.8915
Prior entropy
0.4871
Recall
0.8915
Per class
Relative absolute error
0.605
Root mean prior squared error
0.3074
Root mean squared error
0.3142
Root relative squared error
1.0219
SciMark benchmark
942.3742

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