DEVELOPMENT... OpenML
Run
87389

Run 87389

Task 3890 (Supervised Classification) ada_prior 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
0.8049
Per class
Build CPU time
18.6909
Build memory
390753829.324
F measure
0.8305
Per class
Kappa
0.5293
KB relative information score
2329.6759
Mean absolute error
0.1642
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8305
Per class
Predictive accuracy
0.8384
Prior entropy
0.8085
Recall
0.8384
Per class
Relative absolute error
0.4401
Root mean prior squared error
0.4319
Root mean squared error
0.3734
Root relative squared error
0.8644
SciMark benchmark
939.7809