DEVELOPMENT... OpenML
Run
48311

Run 48311

Task 244 (Supervised Classification) mfeat-fourier Uploaded 05-11-2014 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
0.9813
Per class
Build CPU time
5380.426
Build memory
192023344
F measure
0.844
Per class
Kappa
0.8265
KB relative information score
558.3874
Mean absolute error
0.0419
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8469
Per class
Predictive accuracy
0.8439
Prior entropy
3.3219
Recall
0.8439
Per class
Relative absolute error
0.2327
Root mean prior squared error
0.3
Root mean squared error
0.1477
Root relative squared error
0.4922
SciMark benchmark
943.3898

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