DEVELOPMENT... OpenML
Run
63875

Run 63875

Task 3613 (Supervised Classification) servo 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
0.9061
Per class
Build CPU time
0.9681
Build memory
1160336366.8503
F measure
0.9338
Per class
Kappa
0.8109
KB relative information score
129.7857
Mean absolute error
0.0678
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9336
Per class
Predictive accuracy
0.9341
Prior entropy
0.7794
Recall
0.9341
Per class
Relative absolute error
0.1919
Root mean prior squared error
0.4193
Root mean squared error
0.2541
Root relative squared error
0.6061
SciMark benchmark
943.0515