DEVELOPMENT... OpenML
Run
29604

Run 29604

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 12-10-2014 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
0.8762
Per class
Build CPU time
0.0201
Build memory
3704099012.7312
F measure
0.8302
Per class
Kappa
0.6551
KB relative information score
49.4706
Mean absolute error
0.2254
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8515
Per class
Predictive accuracy
0.828
Prior entropy
0.9645
Recall
0.828
Per class
Relative absolute error
0.4745
Root mean prior squared error
0.4871
Root mean squared error
0.3552
Root relative squared error
0.7293
SciMark benchmark
932.0657