DEVELOPMENT... OpenML
Run
28979

Run 28979

Task 2355 (Supervised Classification) meta_instanceincremental.arff 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
0.9163
Per class
Build CPU time
0.114
Build memory
3493085496
F measure
0.8208
Per class
Kappa
0.6308
KB relative information score
13.0708
Mean absolute error
0.1158
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8611
Per class
Predictive accuracy
0.8333
Prior entropy
1.3146
Recall
0.8333
Per class
Relative absolute error
0.4981
Root mean prior squared error
0.3388
Root mean squared error
0.2435
Root relative squared error
0.7188
SciMark benchmark
898.5805