DEVELOPMENT... OpenML
Run
55412

Run 55412

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 11-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9964
Per class
Build CPU time
304204.608
Build memory
289416304
F measure
0.9524
Per class
Kappa
0.9314
KB relative information score
13428.0821
Mean absolute error
0.0169
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
0.9526
Per class
Predictive accuracy
0.9526
Prior entropy
2.3329
Recall
0.9526
Per class
Relative absolute error
0.1581
Root mean prior squared error
0.2308
Root mean squared error
0.0783
Root relative squared error
0.3394
SciMark benchmark
909.9339