DEVELOPMENT... OpenML
Run
28305

Run 28305

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 09-10-2014 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)_I20
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
0.5964
Per class
Build CPU time
0.0758
Build memory
1375234981.946
F measure
0.5546
Per class
Kappa
0.0431
KB relative information score
0.179
Mean absolute error
0.2456
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.52
Per class
Predictive accuracy
0.5946
Prior entropy
1.3842
Recall
0.5946
Per class
Relative absolute error
0.975
Root mean prior squared error
0.3504
Root mean squared error
0.3743
Root relative squared error
1.0683
SciMark benchmark
894.7079