DEVELOPMENT... OpenML
Run
62167

Run 62167

Task 3876 (Supervised Classification) analcatdata_challenger 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
0.5913
Per class
Build CPU time
0.1018
Build memory
26404998.9565
F measure
0.9033
Per class
KB relative information score
13.9301
Mean absolute error
0.0781
Mean prior absolute error
0.1273
Number of instances
138
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8738
Per class
Predictive accuracy
0.9348
Prior entropy
0.3712
Recall
0.9348
Per class
Relative absolute error
0.6134
Root mean prior squared error
0.247
Root mean squared error
0.2486
Root relative squared error
1.0064
SciMark benchmark
942.728