DEVELOPMENT... OpenML
Run
62288

Run 62288

Task 3917 (Supervised Classification) kc1 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
0.7755
Per class
Build CPU time
4.4039
Build memory
2030630661.0375
F measure
0.8207
Per class
Kappa
0.2175
KB relative information score
666.9848
Mean absolute error
0.1499
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8433
Per class
Predictive accuracy
0.8606
Prior entropy
0.622
Recall
0.8606
Per class
Relative absolute error
0.5731
Root mean prior squared error
0.3615
Root mean squared error
0.3529
Root relative squared error
0.9762
SciMark benchmark
942.9616