DEVELOPMENT... OpenML
Run
62138

Run 62138

Task 3613 (Supervised Classification) servo 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
0.9202
Per class
Build CPU time
0.3615
Build memory
3070036428.024
F measure
0.9332
Per class
Kappa
0.8073
KB relative information score
130.9949
Mean absolute error
0.0647
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.933
Per class
Predictive accuracy
0.9341
Prior entropy
0.7794
Recall
0.9341
Per class
Relative absolute error
0.183
Root mean prior squared error
0.4193
Root mean squared error
0.2522
Root relative squared error
0.6014
SciMark benchmark
944.3501