DEVELOPMENT... OpenML
Run
30536

Run 30536

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 13-10-2014 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
719.438
Build memory
1110467192
F measure
0.9932
Per class
Kappa
0.9902
KB relative information score
14628.8732
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
0.9932
Per class
Predictive accuracy
0.9932
Prior entropy
2.3329
Recall
0.9932
Per class
Relative absolute error
0.0203
Root mean prior squared error
0.2308
Root mean squared error
0.0303
Root relative squared error
0.1315
SciMark benchmark
941.1662