DEVELOPMENT... OpenML
Run
59710

Run 59710

Task 57 (Supervised Classification) ionosphere 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)_I10
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
0.9689
Per class
Build CPU time
4.2324
Build memory
1009491516.4672
F measure
0.9157
Per class
Kappa
0.8143
KB relative information score
271.3605
Mean absolute error
0.1076
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9202
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.2338
Root mean prior squared error
0.4797
Root mean squared error
0.2408
Root relative squared error
0.502
SciMark benchmark
1216.8013