DEVELOPMENT... OpenML
Run
55525

Run 55525

Task 3889 (Supervised Classification) sylva_agnostic 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)_I80
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
0.9991
Per class
Build CPU time
23413.4697
Build memory
482988608.429
F measure
0.9946
Per class
Kappa
0.9534
KB relative information score
13078.8845
Mean absolute error
0.0084
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9946
Per class
Predictive accuracy
0.9946
Prior entropy
0.3338
Recall
0.9946
Per class
Relative absolute error
0.0724
Root mean prior squared error
0.2403
Root mean squared error
0.0633
Root relative squared error
0.2632
SciMark benchmark
945.0883