DEVELOPMENT... OpenML
Run
87660

Run 87660

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.97
Per class
Build CPU time
0.0587
Build memory
463024746.9091
F measure
0.954
Per class
Kappa
0.8978
KB relative information score
117.8452
Mean absolute error
0.0485
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9555
Per class
Predictive accuracy
0.9545
Prior entropy
0.9347
Recall
0.9545
Per class
Relative absolute error
0.1066
Root mean prior squared error
0.4765
Root mean squared error
0.1822
Root relative squared error
0.3823
SciMark benchmark
921.6517