DEVELOPMENT... OpenML
Run
87366

Run 87366

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 03-12-2014 by Felicia West
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Flow

weka.Bagging_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.6519
Per class
Build CPU time
0.0962
Build memory
398285556
F measure
0.5897
Per class
Kappa
0.1839
KB relative information score
15.8953
Mean absolute error
0.426
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5952
Per class
Predictive accuracy
0.59
Prior entropy
0.9975
Recall
0.59
Per class
Relative absolute error
0.855
Root mean prior squared error
0.4991
Root mean squared error
0.5066
Root relative squared error
1.0149
SciMark benchmark
946.0329