DEVELOPMENT... OpenML
Run
63155

Run 63155

Task 4001 (Supervised Classification) pc1_req 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
0.6477
Per class
Build CPU time
0.2547
Build memory
881233984
F measure
0.6478
Per class
Kappa
0.187
KB relative information score
25.9847
Mean absolute error
0.4045
Mean prior absolute error
0.4455
Number of instances
320
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6584
Per class
Predictive accuracy
0.6844
Prior entropy
0.9204
Recall
0.6844
Per class
Relative absolute error
0.908
Root mean prior squared error
0.4718
Root mean squared error
0.4621
Root relative squared error
0.9794
SciMark benchmark
941.326

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