DEVELOPMENT... OpenML
Run
31715

Run 31715

Task 22 (Supervised Classification) mfeat-zernike 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
0.9699
Per class
Build CPU time
36.5131
Build memory
97927060
F measure
0.745
Per class
Kappa
0.7206
KB relative information score
1498.5267
Mean absolute error
0.0677
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7424
Per class
Predictive accuracy
0.7485
Prior entropy
3.3219
Recall
0.7485
Per class
Relative absolute error
0.376
Root mean prior squared error
0.3
Root mean squared error
0.1783
Root relative squared error
0.5942
SciMark benchmark
944.1591

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