DEVELOPMENT... OpenML
Run
33140

Run 33140

Task 3868 (Supervised Classification) glass 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
0.8769
Per class
Build CPU time
1.1223
Build memory
235394884.972
F measure
0.8116
Per class
Kappa
0.5811
KB relative information score
87.9778
Mean absolute error
0.2811
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8173
Per class
Predictive accuracy
0.8178
Prior entropy
0.9397
Recall
0.8178
Per class
Relative absolute error
0.6131
Root mean prior squared error
0.4786
Root mean squared error
0.3666
Root relative squared error
0.7661
SciMark benchmark
940.1889