DEVELOPMENT... OpenML
Run
62111

Run 62111

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.6421
Per class
Build CPU time
3.7353
Build memory
2259784970.4
F measure
0.6191
Per class
Kappa
0.2232
KB relative information score
108.0252
Mean absolute error
0.383
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6185
Per class
Predictive accuracy
0.62
Prior entropy
0.9875
Recall
0.62
Per class
Relative absolute error
0.7796
Root mean prior squared error
0.4956
Root mean squared error
0.5932
Root relative squared error
1.1968
SciMark benchmark
942.3742