DEVELOPMENT... OpenML
Run
58887

Run 58887

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 15-11-2014 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)_I40
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
0.9966
Per class
Build CPU time
64980.168
Build memory
3480543512
F measure
0.9532
Per class
Kappa
0.9324
KB relative information score
13424.9345
Mean absolute error
0.0172
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
0.9533
Per class
Predictive accuracy
0.9533
Prior entropy
2.3329
Recall
0.9533
Per class
Relative absolute error
0.1605
Root mean prior squared error
0.2308
Root mean squared error
0.0775
Root relative squared error
0.3357
SciMark benchmark
944.3501

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