DEVELOPMENT... OpenML
Run
60659

Run 60659

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 16-11-2014 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)_I20
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
0.9945
Per class
Build CPU time
36037.271
Build memory
127446016
F measure
0.9469
Per class
Kappa
0.9235
KB relative information score
13205.0462
Mean absolute error
0.0195
Mean prior absolute error
0.1069
Number of instances
14904
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.947
Per class
Predictive accuracy
0.9472
Prior entropy
2.3329
Recall
0.9472
Per class
Relative absolute error
0.1826
Root mean prior squared error
0.2308
Root mean squared error
0.0838
Root relative squared error
0.3632
SciMark benchmark
1228.4184