DEVELOPMENT... OpenML
Run
63194

Run 63194

Task 3561 (Supervised Classification) profb 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)_I40
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
0.7554
Per class
Build CPU time
7.7863
Build memory
503828604.0357
F measure
0.7324
Per class
Kappa
0.3904
KB relative information score
250.0999
Mean absolute error
0.2668
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7303
Per class
Predictive accuracy
0.7366
Prior entropy
0.9188
Recall
0.7366
Per class
Relative absolute error
0.6001
Root mean prior squared error
0.4714
Root mean squared error
0.4838
Root relative squared error
1.0264
SciMark benchmark
941.326