DEVELOPMENT... OpenML
Run
32497

Run 32497

Task 2939 (Supervised Classification) satimage 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
0.9908
Per class
Build CPU time
68.1638
Build memory
568086539.28
F measure
0.9064
Per class
Kappa
0.8874
KB relative information score
55465.0542
Mean absolute error
0.052
Mean prior absolute error
0.2701
Number of instances
64300
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9065
Per class
Predictive accuracy
0.9091
Prior entropy
2.4836
Recall
0.9091
Per class
Relative absolute error
0.1926
Root mean prior squared error
0.3675
Root mean squared error
0.1509
Root relative squared error
0.4105
SciMark benchmark
933.635