DEVELOPMENT... OpenML
Run
33208

Run 33208

Task 2980 (Supervised Classification) meta_stream_intervals.arff Uploaded 14-10-2014 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)_I80
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
0.9999
Per class
Build CPU time
981.0659
Build memory
960262959.3117
F measure
0.9933
Per class
Kappa
0.9904
KB relative information score
446217.5616
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
0.9933
Per class
Predictive accuracy
0.9933
Prior entropy
2.3329
Recall
0.9933
Per class
Relative absolute error
0.0178
Root mean prior squared error
0.2315
Root mean squared error
0.0288
Root relative squared error
0.1245
SciMark benchmark
905.9652