DEVELOPMENT... OpenML
Run
107255

Run 107255

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I20
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.5563
Per class
Build CPU time
0.0465
Build memory
302901861.3636
F measure
0.5909
Per class
Kappa
0.1814
KB relative information score
14.1301
Mean absolute error
0.4204
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
0.5909
Per class
Predictive accuracy
0.5909
Prior entropy
0.9996
Recall
0.5909
Per class
Relative absolute error
0.8412
Root mean prior squared error
0.4999
Root mean squared error
0.6225
Root relative squared error
1.2454
SciMark benchmark
945.5617