DEVELOPMENT... OpenML
Run
33331

Run 33331

Task 3653 (Supervised Classification) triazines 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
0.8922
Per class
Build CPU time
2.6597
Build memory
612195178.1075
F measure
0.7873
Per class
Kappa
0.5586
KB relative information score
81.0812
Mean absolute error
0.2891
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7901
Per class
Predictive accuracy
0.7903
Prior entropy
0.979
Recall
0.7903
Per class
Relative absolute error
0.5956
Root mean prior squared error
0.4925
Root mean squared error
0.3675
Root relative squared error
0.7462
SciMark benchmark
944.3349