DEVELOPMENT... OpenML
Run
33581

Run 33581

Task 4486 (Supervised Classification) fri_c4_250_50 Uploaded 15-10-2014 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
0.8956
Per class
Build CPU time
5.5196
Build memory
2097361525.92
F measure
0.8228
Per class
Kappa
0.6434
KB relative information score
1075.8503
Mean absolute error
0.3034
Mean prior absolute error
0.4968
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8321
Per class
Predictive accuracy
0.8252
Prior entropy
0.9955
Recall
0.8252
Per class
Relative absolute error
0.6106
Root mean prior squared error
0.4984
Root mean squared error
0.3662
Root relative squared error
0.7347
SciMark benchmark
941.9488