DEVELOPMENT... OpenML
Run
57328

Run 57328

Task 289 (Supervised Classification) iris Uploaded 13-11-2014 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
0.9974
Per class
Build CPU time
1.389
Build memory
1441257888
F measure
0.9592
Per class
Kappa
0.9388
KB relative information score
43.1787
Mean absolute error
0.0682
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9637
Per class
Predictive accuracy
0.9592
Prior entropy
1.585
Recall
0.9592
Per class
Relative absolute error
0.1534
Root mean prior squared error
0.4714
Root mean squared error
0.1525
Root relative squared error
0.3236
SciMark benchmark
941.5509