DEVELOPMENT... OpenML
Run
130191

Run 130191

Task 3665 (Supervised Classification) pyrim 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
0.9047
Per class
Build CPU time
0.0226
Build memory
997423420.7568
F measure
0.8906
Per class
Kappa
0.7739
KB relative information score
56.142
Mean absolute error
0.118
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8948
Per class
Predictive accuracy
0.8919
Prior entropy
0.9819
Recall
0.8919
Per class
Relative absolute error
0.2422
Root mean prior squared error
0.4934
Root mean squared error
0.3211
Root relative squared error
0.6507
SciMark benchmark
916.8903