DEVELOPMENT... OpenML
Run
86570

Run 86570

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 03-12-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I20
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

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
0.988
Per class
Build CPU time
382.8387
Build memory
201658239.6091
F measure
0.9769
Per class
Kappa
0.9506
KB relative information score
6585.0517
Mean absolute error
0.0294
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9774
Per class
Predictive accuracy
0.9768
Prior entropy
0.9504
Recall
0.9768
Per class
Relative absolute error
0.0631
Root mean prior squared error
0.4827
Root mean squared error
0.1448
Root relative squared error
0.3001
SciMark benchmark
939.7809