DEVELOPMENT... OpenML
Run
64811

Run 64811

Task 3774 (Supervised Classification) fri_c2_250_5 Uploaded 18-11-2014 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)_I160
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
0.7487
Per class
Build CPU time
0.1076
Build memory
282182835.2
F measure
0.6444
Per class
Kappa
0.2758
KB relative information score
61.0883
Mean absolute error
0.3801
Mean prior absolute error
0.4929
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
0.645
Per class
Predictive accuracy
0.648
Prior entropy
0.9898
Recall
0.648
Per class
Relative absolute error
0.7713
Root mean prior squared error
0.4964
Root mean squared error
0.4509
Root relative squared error
0.9084
SciMark benchmark
939.0518