DEVELOPMENT... OpenML
Run
34154

Run 34154

Task 4 (Supervised Classification) labor Uploaded 18-10-2014 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)_I80
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
0.9824
Per class
Build CPU time
0.0774
Build memory
144191367.0175
F measure
0.9117
Per class
Kappa
0.8052
KB relative information score
39.1361
Mean absolute error
0.1539
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9118
Per class
Predictive accuracy
0.9123
Prior entropy
0.9393
Recall
0.9123
Per class
Relative absolute error
0.3368
Root mean prior squared error
0.4773
Root mean squared error
0.2447
Root relative squared error
0.5127
SciMark benchmark
944.352