DEVELOPMENT... OpenML
Run
62041

Run 62041

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.5076
Per class
Build CPU time
3.6906
Build memory
80885525.4725
F measure
0.5649
Per class
Kappa
-0.0089
KB relative information score
-23.586
Mean absolute error
0.4329
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5639
Per class
Predictive accuracy
0.5659
Prior entropy
0.901
Recall
0.5659
Per class
Relative absolute error
1.0007
Root mean prior squared error
0.4649
Root mean squared error
0.6388
Root relative squared error
1.3742
SciMark benchmark
942.728