DEVELOPMENT... OpenML
Run
29529

Run 29529

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 12-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9441
Per class
Build CPU time
0.3949
Build memory
47047004
F measure
0.8435
Per class
Kappa
0.6803
KB relative information score
138.8304
Mean absolute error
0.2352
Mean prior absolute error
0.4908
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
0.8437
Per class
Predictive accuracy
0.844
Prior entropy
0.9868
Recall
0.844
Per class
Relative absolute error
0.4793
Root mean prior squared error
0.4954
Root mean squared error
0.314
Root relative squared error
0.6338
SciMark benchmark
946.8247