DEVELOPMENT... OpenML
Run
35281

Run 35281

Task 4340 (Supervised Classification) fri_c1_250_50 Uploaded 23-10-2014 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)_I10
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
0.9355
Per class
Build CPU time
0.2648
Build memory
2900046280.16
F measure
0.8672
Per class
Kappa
0.7313
KB relative information score
1447.4897
Mean absolute error
0.2244
Mean prior absolute error
0.4954
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
0.8696
Per class
Predictive accuracy
0.868
Prior entropy
0.9934
Recall
0.868
Per class
Relative absolute error
0.453
Root mean prior squared error
0.4977
Root mean squared error
0.3175
Root relative squared error
0.6379
SciMark benchmark
935.5458