DEVELOPMENT... OpenML
Run
62433

Run 62433

Task 3895 (Supervised Classification) gina_prior 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
0.901
Per class
Build CPU time
214.6096
Build memory
1483350781.5271
F measure
0.8552
Per class
Kappa
0.7103
KB relative information score
2455.0624
Mean absolute error
0.1463
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8554
Per class
Predictive accuracy
0.8552
Prior entropy
0.9998
Recall
0.8552
Per class
Relative absolute error
0.2926
Root mean prior squared error
0.4999
Root mean squared error
0.3732
Root relative squared error
0.7465
SciMark benchmark
941.0301