DEVELOPMENT... OpenML
Run
57515

Run 57515

Task 57 (Supervised Classification) ionosphere 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
0.9778
Per class
Build CPU time
18.5241
Build memory
1156444511.2251
F measure
0.9215
Per class
Kappa
0.8271
KB relative information score
273.4002
Mean absolute error
0.1063
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9262
Per class
Predictive accuracy
0.9231
Prior entropy
0.9425
Recall
0.9231
Per class
Relative absolute error
0.2309
Root mean prior squared error
0.4797
Root mean squared error
0.2349
Root relative squared error
0.4897
SciMark benchmark
942.728