DEVELOPMENT... OpenML
Run
62313

Run 62313

Task 3680 (Supervised Classification) chscase_vine1 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
0.8571
Per class
Build CPU time
0.0474
Build memory
142761307.5385
F measure
0.7881
Per class
Kappa
0.5731
KB relative information score
29.9799
Mean absolute error
0.2095
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7883
Per class
Predictive accuracy
0.7885
Prior entropy
0.996
Recall
0.7885
Per class
Relative absolute error
0.4214
Root mean prior squared error
0.4985
Root mean squared error
0.4302
Root relative squared error
0.863
SciMark benchmark
942.728