DEVELOPMENT... OpenML
Run
129057

Run 129057

Task 3743 (Supervised Classification) fri_c2_500_25 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
0.8639
Per class
Build CPU time
0.0609
Build memory
1442931562.4
F measure
0.8026
Per class
Kappa
0.5835
KB relative information score
281.6693
Mean absolute error
0.2058
Mean prior absolute error
0.4768
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8025
Per class
Predictive accuracy
0.804
Prior entropy
0.9664
Recall
0.804
Per class
Relative absolute error
0.4316
Root mean prior squared error
0.4882
Root mean squared error
0.4192
Root relative squared error
0.8586
SciMark benchmark
937.9119