DEVELOPMENT... OpenML
Run
33261

Run 33261

Task 3635 (Supervised Classification) fri_c1_250_50 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
0.9552
Per class
Build CPU time
4.2652
Build memory
84243610.4
F measure
0.8754
Per class
Kappa
0.7479
KB relative information score
145.6121
Mean absolute error
0.2263
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8771
Per class
Predictive accuracy
0.876
Prior entropy
0.9934
Recall
0.876
Per class
Relative absolute error
0.4567
Root mean prior squared error
0.4977
Root mean squared error
0.3016
Root relative squared error
0.6059
SciMark benchmark
944.2123