DEVELOPMENT... OpenML
Run
63906

Run 63906

Task 3911 (Supervised Classification) ar4 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)_I80
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
0.6158
Per class
Build CPU time
0.4473
Build memory
717714906.1682
F measure
0.7829
Per class
Kappa
0.2789
KB relative information score
12.1336
Mean absolute error
0.2331
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7809
Per class
Predictive accuracy
0.785
Prior entropy
0.707
Recall
0.785
Per class
Relative absolute error
0.7579
Root mean prior squared error
0.3899
Root mean squared error
0.4422
Root relative squared error
1.1342
SciMark benchmark
942.9616

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