DEVELOPMENT... OpenML
Run
63159

Run 63159

Task 3907 (Supervised Classification) mc1 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
0.7681
Per class
Build CPU time
59.3099
Build memory
1344025494.5075
F measure
0.989
Per class
Kappa
-0.0008
KB relative information score
-4079.1559
Mean absolute error
0.0081
Mean prior absolute error
0.0144
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9857
Per class
Predictive accuracy
0.9924
Prior entropy
0.0622
Recall
0.9924
Per class
Relative absolute error
0.5652
Root mean prior squared error
0.0845
Root mean squared error
0.0834
Root relative squared error
0.9881
SciMark benchmark
944.3501