DEVELOPMENT... OpenML
Run
58555

Run 58555

Task 2355 (Supervised Classification) meta_instanceincremental.arff 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)_I20
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
0.9145
Per class
Build CPU time
1.334
Build memory
1796640680
F measure
0.8365
Per class
Kappa
0.6667
KB relative information score
12.0798
Mean absolute error
0.1291
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8556
Per class
Predictive accuracy
0.8333
Prior entropy
1.3146
Recall
0.8333
Per class
Relative absolute error
0.5556
Root mean prior squared error
0.3388
Root mean squared error
0.2401
Root relative squared error
0.7088
SciMark benchmark
939.0518