DEVELOPMENT... OpenML
Run
62282

Run 62282

Task 3916 (Supervised Classification) kc1-binary 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
0.8188
Per class
Build CPU time
1.1899
Build memory
2077763051.9724
F measure
0.7649
Per class
Kappa
0.5143
KB relative information score
75.9713
Mean absolute error
0.2281
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7646
Per class
Predictive accuracy
0.7655
Prior entropy
0.979
Recall
0.7655
Per class
Relative absolute error
0.4699
Root mean prior squared error
0.4925
Root mean squared error
0.4655
Root relative squared error
0.9451
SciMark benchmark
942.9616