DEVELOPMENT... OpenML
Run
87163

Run 87163

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.6331
Per class
Build CPU time
0.2976
Build memory
282759960
F measure
0.6099
Per class
Kappa
0.2124
KB relative information score
34.4744
Mean absolute error
0.4228
Mean prior absolute error
0.4897
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
0.6157
Per class
Predictive accuracy
0.608
Prior entropy
0.9852
Recall
0.608
Per class
Relative absolute error
0.8634
Root mean prior squared error
0.4948
Root mean squared error
0.5124
Root relative squared error
1.0355
SciMark benchmark
935.5532