DEVELOPMENT... OpenML
Run
27404

Run 27404

Task 4431 (Supervised Classification) sleuth_ex2016 Uploaded 08-10-2014 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)_I20
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
0.7683
Per class
Build CPU time
0.0169
Build memory
758247356.1471
F measure
0.6803
Per class
Kappa
0.3597
KB relative information score
264.4347
Mean absolute error
0.3546
Mean prior absolute error
0.4994
Number of instances
870
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6803
Per class
Predictive accuracy
0.6805
Prior entropy
0.9992
Recall
0.6805
Per class
Relative absolute error
0.71
Root mean prior squared error
0.4997
Root mean squared error
0.445
Root relative squared error
0.8906
SciMark benchmark
604.2262