DEVELOPMENT... OpenML
Run
63129

Run 63129

Task 3658 (Supervised Classification) fri_c3_250_10 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)_I40
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
0.652
Per class
Build CPU time
0.2082
Build memory
65092204
F measure
0.6222
Per class
Kappa
0.2383
KB relative information score
35.9102
Mean absolute error
0.4319
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6223
Per class
Predictive accuracy
0.624
Prior entropy
0.9955
Recall
0.624
Per class
Relative absolute error
0.8693
Root mean prior squared error
0.4984
Root mean squared error
0.4967
Root relative squared error
0.9967
SciMark benchmark
943.8359