DEVELOPMENT... OpenML
Run
64806

Run 64806

Task 3762 (Supervised Classification) analcatdata_negotiation 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
0.833
Per class
Build CPU time
0.0431
Build memory
787291536.6957
F measure
0.8395
Per class
Kappa
0.6115
KB relative information score
47.5199
Mean absolute error
0.1902
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.844
Per class
Predictive accuracy
0.837
Prior entropy
0.8651
Recall
0.837
Per class
Relative absolute error
0.4668
Root mean prior squared error
0.4503
Root mean squared error
0.3753
Root relative squared error
0.8335
SciMark benchmark
939.0518