DEVELOPMENT... OpenML
Run
62122

Run 62122

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.7558
Per class
Build CPU time
0.2291
Build memory
81484849.6
F measure
0.6493
Per class
Kappa
0.2842
KB relative information score
77.7719
Mean absolute error
0.3364
Mean prior absolute error
0.4919
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
0.6491
Per class
Predictive accuracy
0.652
Prior entropy
0.9883
Recall
0.652
Per class
Relative absolute error
0.6839
Root mean prior squared error
0.4959
Root mean squared error
0.4946
Root relative squared error
0.9974
SciMark benchmark
942.728