DEVELOPMENT... OpenML
Run
62059

Run 62059

Task 3597 (Supervised Classification) baskball 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
0.7158
Per class
Build CPU time
0.0714
Build memory
55381087.5
F measure
0.6958
Per class
Kappa
0.3937
KB relative information score
32.5912
Mean absolute error
0.336
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7013
Per class
Predictive accuracy
0.6979
Prior entropy
0.9997
Recall
0.6979
Per class
Relative absolute error
0.6723
Root mean prior squared error
0.4999
Root mean squared error
0.5067
Root relative squared error
1.0136
SciMark benchmark
942.728