DEVELOPMENT... OpenML
Run
35279

Run 35279

Task 3060 (Supervised Classification) squash-stored 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
0.821
Per class
Build CPU time
0.018
Build memory
3208020576
F measure
0.6933
Per class
Kappa
0.5087
KB relative information score
6.4913
Mean absolute error
0.2847
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7
Per class
Predictive accuracy
0.7059
Prior entropy
1.4782
Recall
0.7059
Per class
Relative absolute error
0.6836
Root mean prior squared error
0.4569
Root mean squared error
0.3915
Root relative squared error
0.8567
SciMark benchmark
947.0077