DEVELOPMENT... OpenML
Run
32911

Run 32911

Task 252 (Supervised Classification) mfeat-zernike Uploaded 14-10-2014 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
0.9761
Per class
Build CPU time
25.23
Build memory
873501288
F measure
0.7832
Per class
Kappa
0.7642
KB relative information score
499.0264
Mean absolute error
0.0685
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
0.7825
Per class
Predictive accuracy
0.7879
Prior entropy
3.3219
Recall
0.7879
Per class
Relative absolute error
0.3804
Root mean prior squared error
0.3
Root mean squared error
0.173
Root relative squared error
0.5767
SciMark benchmark
943.3741