DEVELOPMENT... OpenML
Run
64798

Run 64798

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.6653
Per class
Build CPU time
0.066
Build memory
1922237681.931
F measure
0.5962
Per class
Kappa
0.1989
KB relative information score
17.8642
Mean absolute error
0.4002
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6025
Per class
Predictive accuracy
0.5977
Prior entropy
0.9992
Recall
0.5977
Per class
Relative absolute error
0.8013
Root mean prior squared error
0.4997
Root mean squared error
0.5282
Root relative squared error
1.057
SciMark benchmark
939.0518