DEVELOPMENT... OpenML
Run
31321

Run 31321

Task 4324 (Supervised Classification) wisconsin 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)_I80
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
0.5751
Per class
Build CPU time
0.4951
Build memory
1254891435.365
F measure
0.5681
Per class
Kappa
0.131
KB relative information score
107.9622
Mean absolute error
0.474
Mean prior absolute error
0.4974
Number of instances
1940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5678
Per class
Predictive accuracy
0.5686
Prior entropy
0.9963
Recall
0.5686
Per class
Relative absolute error
0.953
Root mean prior squared error
0.4987
Root mean squared error
0.5123
Root relative squared error
1.0273
SciMark benchmark
929.0217