DEVELOPMENT... OpenML
Run
63949

Run 63949

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.7251
Per class
Build CPU time
0.1257
Build memory
942662958.4
F measure
0.6737
Per class
Kappa
0.344
KB relative information score
101.3105
Mean absolute error
0.41
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6757
Per class
Predictive accuracy
0.676
Prior entropy
0.9967
Recall
0.676
Per class
Relative absolute error
0.8239
Root mean prior squared error
0.4988
Root mean squared error
0.4603
Root relative squared error
0.9228
SciMark benchmark
941.4198