DEVELOPMENT... OpenML
Run
35232

Run 35232

Task 4333 (Supervised Classification) fri_c2_100_10 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
0.8595
Per class
Build CPU time
0.034
Build memory
1358396055.2
F measure
0.764
Per class
Kappa
0.5221
KB relative information score
420.063
Mean absolute error
0.2988
Mean prior absolute error
0.4951
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7646
Per class
Predictive accuracy
0.765
Prior entropy
0.9931
Recall
0.765
Per class
Relative absolute error
0.6035
Root mean prior squared error
0.4975
Root mean squared error
0.3903
Root relative squared error
0.7845
SciMark benchmark
942.8263