DEVELOPMENT... OpenML
Run
62294

Run 62294

Task 3665 (Supervised Classification) pyrim 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
0.9344
Per class
Build CPU time
0.1682
Build memory
1867277459.4595
F measure
0.9323
Per class
Kappa
0.8606
KB relative information score
63.5512
Mean absolute error
0.0676
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9325
Per class
Predictive accuracy
0.9324
Prior entropy
0.9819
Recall
0.9324
Per class
Relative absolute error
0.1388
Root mean prior squared error
0.4934
Root mean squared error
0.2599
Root relative squared error
0.5268
SciMark benchmark
942.9616