DEVELOPMENT... OpenML
Run
64025

Run 64025

Task 3809 (Supervised Classification) visualizing_ethanol 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
0.5264
Per class
Build CPU time
0.0236
Build memory
568110852.8182
F measure
0.5114
Per class
Kappa
0.0227
KB relative information score
2.9392
Mean absolute error
0.4818
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5116
Per class
Predictive accuracy
0.5114
Prior entropy
0.9996
Recall
0.5114
Per class
Relative absolute error
0.9642
Root mean prior squared error
0.4999
Root mean squared error
0.5392
Root relative squared error
1.0787
SciMark benchmark
939.9473