DEVELOPMENT... OpenML
Run
27260

Run 27260

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 08-10-2014 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
0.9998
Per class
Build CPU time
180.264
Build memory
292141376
F measure
0.9925
Per class
Kappa
0.9892
KB relative information score
14625.2487
Mean absolute error
0.0022
Mean prior absolute error
0.1069
Number of instances
14904
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9925
Per class
Predictive accuracy
0.9925
Prior entropy
2.3329
Recall
0.9925
Per class
Relative absolute error
0.0203
Root mean prior squared error
0.2308
Root mean squared error
0.031
Root relative squared error
0.1345
SciMark benchmark
942.6357

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