DEVELOPMENT... OpenML
Run
137478

Run 137478

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.4992
Per class
Build CPU time
0.0048
Build memory
1693919339.2727
F measure
0.4995
Per class
Kappa
0.0015
KB relative information score
0.0589
Mean absolute error
0.4991
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.501
Per class
Predictive accuracy
0.5
Prior entropy
0.9996
Recall
0.5
Per class
Relative absolute error
0.9987
Root mean prior squared error
0.4999
Root mean squared error
0.5737
Root relative squared error
1.1476
SciMark benchmark
874.2668