DEVELOPMENT... OpenML
Run
87494

Run 87494

Task 3716 (Supervised Classification) tecator 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
0.9812
Per class
Build CPU time
1.0194
Build memory
1335119535.2
F measure
0.95
Per class
Kappa
0.8977
KB relative information score
209.1166
Mean absolute error
0.0663
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.95
Per class
Predictive accuracy
0.95
Prior entropy
0.984
Recall
0.95
Per class
Relative absolute error
0.1355
Root mean prior squared error
0.4943
Root mean squared error
0.1883
Root relative squared error
0.3809
SciMark benchmark
933.5169