DEVELOPMENT... OpenML
Run
30100

Run 30100

Task 4 (Supervised Classification) labor 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)_I80
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
0.9324
Per class
Build CPU time
0.0485
Build memory
105569329.8246
F measure
0.8934
Per class
Kappa
0.7635
KB relative information score
29.8818
Mean absolute error
0.2356
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8944
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.5156
Root mean prior squared error
0.4773
Root mean squared error
0.3165
Root relative squared error
0.6632
SciMark benchmark
922.6817