DEVELOPMENT... OpenML
Run
63210

Run 63210

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 17-11-2014 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)_I40
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
0.8102
Per class
Build CPU time
312.1595
Build memory
840975486.1349
F measure
0.8569
Per class
Kappa
0.1068
KB relative information score
1382.3319
Mean absolute error
0.1142
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
0.8504
Per class
Predictive accuracy
0.8911
Prior entropy
0.4871
Recall
0.8911
Per class
Relative absolute error
0.604
Root mean prior squared error
0.3074
Root mean squared error
0.3173
Root relative squared error
1.0321
SciMark benchmark
929.2431