DEVELOPMENT... OpenML
Run
34066

Run 34066

Task 4549 (Supervised Classification) kdd_internet_usage Uploaded 17-10-2014 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
0.9487
Per class
Build CPU time
1142.2521
Build memory
2002913772.6366
F measure
0.8915
Per class
Kappa
0.7176
KB relative information score
60138.2597
Mean absolute error
0.1642
Mean prior absolute error
0.3929
Number of instances
101080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8924
Per class
Predictive accuracy
0.8943
Prior entropy
0.8395
Recall
0.8943
Per class
Relative absolute error
0.4179
Root mean prior squared error
0.4432
Root mean squared error
0.2785
Root relative squared error
0.6284
SciMark benchmark
937.05