DEVELOPMENT... OpenML
Run
34391

Run 34391

Task 6 (Supervised Classification) letter Uploaded 19-10-2014 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)_I80
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
0.9993
Per class
Build CPU time
5848.3203
Build memory
1555601720
F measure
0.9518
Per class
Kappa
0.9498
KB relative information score
18315.5713
Mean absolute error
0.0139
Mean prior absolute error
0.074
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
0.9522
Per class
Predictive accuracy
0.9517
Prior entropy
4.6998
Recall
0.9517
Per class
Relative absolute error
0.1884
Root mean prior squared error
0.1923
Root mean squared error
0.0646
Root relative squared error
0.3361
SciMark benchmark
942.0573

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