DEVELOPMENT... OpenML
Run
29103

Run 29103

Task 4425 (Supervised Classification) fri_c4_500_10 Uploaded 10-10-2014 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
0.9516
Per class
Build CPU time
0.2396
Build memory
355227079.68
F measure
0.8749
Per class
Kappa
0.7467
KB relative information score
3168.0631
Mean absolute error
0.1935
Mean prior absolute error
0.4946
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8749
Per class
Predictive accuracy
0.875
Prior entropy
0.9922
Recall
0.875
Per class
Relative absolute error
0.3913
Root mean prior squared error
0.4973
Root mean squared error
0.2971
Root relative squared error
0.5975
SciMark benchmark
897.722