DEVELOPMENT... OpenML
Run
87212

Run 87212

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.5
Per class
Build CPU time
0.7462
Build memory
371672890.0979
F measure
0.7188
Per class
KB relative information score
214.2518
Mean absolute error
0.1945
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6489
Per class
Predictive accuracy
0.8055
Prior entropy
0.7123
Recall
0.8055
Per class
Relative absolute error
0.6198
Root mean prior squared error
0.3958
Root mean squared error
0.441
Root relative squared error
1.1142
SciMark benchmark
916.929