DEVELOPMENT... OpenML
Run
30011

Run 30011

Task 250 (Supervised Classification) mfeat-pixel 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)_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
0.9763
Per class
Build CPU time
3.22
Build memory
218435520
F measure
0.8489
Per class
Kappa
0.8316
KB relative information score
533.1182
Mean absolute error
0.0519
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8525
Per class
Predictive accuracy
0.8485
Prior entropy
3.3219
Recall
0.8485
Per class
Relative absolute error
0.2884
Root mean prior squared error
0.3
Root mean squared error
0.1481
Root relative squared error
0.4938
SciMark benchmark
942.2925