DEVELOPMENT... OpenML
Run
33028

Run 33028

Task 3840 (Supervised Classification) letter Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9996
Per class
Build CPU time
893.6055
Build memory
1088727065.6
F measure
0.9962
Per class
Kappa
0.9509
KB relative information score
16470.0125
Mean absolute error
0.0091
Mean prior absolute error
0.078
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9963
Per class
Predictive accuracy
0.9963
Prior entropy
0.2455
Recall
0.9963
Per class
Relative absolute error
0.1166
Root mean prior squared error
0.1975
Root mean squared error
0.0536
Root relative squared error
0.2713
SciMark benchmark
941.3236