DEVELOPMENT... OpenML
Run
32709

Run 32709

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 13-10-2014 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)_I160
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
0.5049
Per class
Build CPU time
0.0444
Build memory
1281471327.2727
F measure
0.556
Per class
Kappa
0.1118
KB relative information score
0.3216
Mean absolute error
0.4991
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5564
Per class
Predictive accuracy
0.5568
Prior entropy
0.9996
Recall
0.5568
Per class
Relative absolute error
0.9986
Root mean prior squared error
0.4999
Root mean squared error
0.5217
Root relative squared error
1.0437
SciMark benchmark
946.5792