DEVELOPMENT... OpenML
Run
28154

Run 28154

Task 2980 (Supervised Classification) meta_stream_intervals.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
0.9998
Per class
Build CPU time
273.4127
Build memory
1655647796.2149
F measure
0.993
Per class
Kappa
0.9899
KB relative information score
446135.7771
Mean absolute error
0.0019
Mean prior absolute error
0.1072
Number of instances
451640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.993
Per class
Predictive accuracy
0.993
Prior entropy
2.3329
Recall
0.993
Per class
Relative absolute error
0.0179
Root mean prior squared error
0.2315
Root mean squared error
0.0294
Root relative squared error
0.1271
SciMark benchmark
938.5723