DEVELOPMENT... OpenML
Run
130916

Run 130916

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.5535
Per class
Build CPU time
0.0296
Build memory
920535198.5455
F measure
0.545
Per class
Kappa
0.0923
KB relative information score
8.0397
Mean absolute error
0.4539
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
0.5468
Per class
Predictive accuracy
0.5455
Prior entropy
0.9996
Recall
0.5455
Per class
Relative absolute error
0.9083
Root mean prior squared error
0.4999
Root mean squared error
0.6676
Root relative squared error
1.3355
SciMark benchmark
927.3354