DEVELOPMENT... OpenML
Run
130292

Run 130292

Task 3785 (Supervised Classification) fri_c2_100_50 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
0.9179
Per class
Build CPU time
0.1207
Build memory
766921517.6
F measure
0.8992
Per class
Kappa
0.792
KB relative information score
78.1795
Mean absolute error
0.1061
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9014
Per class
Predictive accuracy
0.9
Prior entropy
0.9822
Recall
0.9
Per class
Relative absolute error
0.2176
Root mean prior squared error
0.4936
Root mean squared error
0.3183
Root relative squared error
0.6449
SciMark benchmark
916.8903