DEVELOPMENT... OpenML
Run
33309

Run 33309

Task 4411 (Supervised Classification) stock 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
0.9954
Per class
Build CPU time
4.9495
Build memory
97989888.96
F measure
0.9647
Per class
Kappa
0.9294
KB relative information score
8362.0215
Mean absolute error
0.0657
Mean prior absolute error
0.4996
Number of instances
9500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9647
Per class
Predictive accuracy
0.9647
Prior entropy
0.9995
Recall
0.9647
Per class
Relative absolute error
0.1315
Root mean prior squared error
0.4998
Root mean squared error
0.1648
Root relative squared error
0.3297
SciMark benchmark
926.0136