DEVELOPMENT... OpenML
Run
130270

Run 130270

Task 3756 (Supervised Classification) visualizing_hamster 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)_I80
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
0.6216
Per class
Build CPU time
0.0141
Build memory
952200193.0959
F measure
0.5981
Per class
Kappa
0.1873
KB relative information score
14.7368
Mean absolute error
0.3934
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5993
Per class
Predictive accuracy
0.6027
Prior entropy
0.9937
Recall
0.6027
Per class
Relative absolute error
0.7939
Root mean prior squared error
0.4977
Root mean squared error
0.6097
Root relative squared error
1.225
SciMark benchmark
925.481