DEVELOPMENT... OpenML
Run
87151

Run 87151

Task 27 (Supervised Classification) colic 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
0.8433
Per class
Build CPU time
0.8699
Build memory
554098283.9565
F measure
0.8175
Per class
Kappa
0.6075
KB relative information score
187.0992
Mean absolute error
0.2334
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8172
Per class
Predictive accuracy
0.8179
Prior entropy
0.9509
Recall
0.8179
Per class
Relative absolute error
0.5007
Root mean prior squared error
0.4827
Root mean squared error
0.387
Root relative squared error
0.8017
SciMark benchmark
935.5532