DEVELOPMENT... OpenML
Run
64014

Run 64014

Task 3550 (Supervised Classification) analcatdata_asbestos 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
0.8105
Per class
Build CPU time
0.0543
Build memory
620632802.3133
F measure
0.7957
Per class
Kappa
0.5888
KB relative information score
36.848
Mean absolute error
0.2892
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7983
Per class
Predictive accuracy
0.7952
Prior entropy
0.9919
Recall
0.7952
Per class
Relative absolute error
0.5851
Root mean prior squared error
0.4971
Root mean squared error
0.4083
Root relative squared error
0.8215
SciMark benchmark
942.7079