DEVELOPMENT... OpenML
Run
33509

Run 33509

Task 4467 (Supervised Classification) analcatdata_negotiation 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
0.892
Per class
Build CPU time
0.1204
Build memory
667462125.3304
F measure
0.8215
Per class
Kappa
0.5593
KB relative information score
436.0681
Mean absolute error
0.2124
Mean prior absolute error
0.4075
Number of instances
920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8213
Per class
Predictive accuracy
0.8217
Prior entropy
0.8651
Recall
0.8217
Per class
Relative absolute error
0.5213
Root mean prior squared error
0.4503
Root mean squared error
0.3322
Root relative squared error
0.7379
SciMark benchmark
943.9739