DEVELOPMENT... OpenML
Run
62065

Run 62065

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8167
Per class
Build CPU time
1.0056
Build memory
1477139308
F measure
0.7349
Per class
Kappa
0.4671
KB relative information score
119.0016
Mean absolute error
0.2604
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7362
Per class
Predictive accuracy
0.736
Prior entropy
0.9971
Recall
0.736
Per class
Relative absolute error
0.523
Root mean prior squared error
0.499
Root mean squared error
0.5003
Root relative squared error
1.0026
SciMark benchmark
942.7079