DEVELOPMENT... OpenML
Run
116250

Run 116250

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

weka.AdaBoostM1_JRip(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_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(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
0.539
Per class
Build CPU time
0.0097
Build memory
398604725.6364
F measure
0.5668
Per class
Kappa
0.1341
KB relative information score
3.4263
Mean absolute error
0.4852
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
0.5678
Per class
Predictive accuracy
0.5682
Prior entropy
0.9996
Recall
0.5682
Per class
Relative absolute error
0.9708
Root mean prior squared error
0.4999
Root mean squared error
0.5482
Root relative squared error
1.0966
SciMark benchmark
920.7965