DEVELOPMENT... OpenML
Run
32529

Run 32529

Task 4537 (Supervised Classification) iris 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
0.988
Per class
Build CPU time
0.0229
Build memory
628609001.52
F measure
0.992
Per class
Kappa
0.9819
KB relative information score
1462.526
Mean absolute error
0.01
Mean prior absolute error
0.4452
Number of instances
1500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9921
Per class
Predictive accuracy
0.992
Prior entropy
0.9205
Recall
0.992
Per class
Relative absolute error
0.0224
Root mean prior squared error
0.4714
Root mean squared error
0.0933
Root relative squared error
0.1979
SciMark benchmark
946.1889