DEVELOPMENT... OpenML
Run
64821

Run 64821

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 18-11-2014 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)_I160
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
0.8064
Per class
Build CPU time
0.0492
Build memory
59251851.3735
F measure
0.7838
Per class
Kappa
0.5657
KB relative information score
35.5567
Mean absolute error
0.2969
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
0.788
Per class
Predictive accuracy
0.7831
Prior entropy
0.9919
Recall
0.7831
Per class
Relative absolute error
0.6007
Root mean prior squared error
0.4971
Root mean squared error
0.4133
Root relative squared error
0.8315
SciMark benchmark
939.0518