DEVELOPMENT... OpenML
Run
29140

Run 29140

Task 4431 (Supervised Classification) sleuth_ex2016 Uploaded 10-10-2014 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
0.7682
Per class
Build CPU time
0.04
Build memory
934054445.6092
F measure
0.6801
Per class
Kappa
0.3593
KB relative information score
258.7167
Mean absolute error
0.3581
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
0.7171
Root mean prior squared error
0.4997
Root mean squared error
0.4443
Root relative squared error
0.8892
SciMark benchmark
941.412