DEVELOPMENT... OpenML
Run
129026

Run 129026

Task 3707 (Supervised Classification) analcatdata_runshoes 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)_I20
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
0.6794
Per class
Build CPU time
0.0026
Build memory
1631654481.6
F measure
0.6603
Per class
Kappa
0.2857
KB relative information score
15.5562
Mean absolute error
0.3579
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.66
Per class
Predictive accuracy
0.6667
Prior entropy
0.9728
Recall
0.6667
Per class
Relative absolute error
0.7446
Root mean prior squared error
0.4899
Root mean squared error
0.5094
Root relative squared error
1.0397
SciMark benchmark
937.9119