DEVELOPMENT... OpenML
Run
129651

Run 129651

Task 3737 (Supervised Classification) fri_c3_250_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)_I40
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
0.8829
Per class
Build CPU time
0.163
Build memory
811244438.4
F measure
0.8143
Per class
Kappa
0.62
KB relative information score
156.5103
Mean absolute error
0.1818
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8165
Per class
Predictive accuracy
0.816
Prior entropy
0.9868
Recall
0.816
Per class
Relative absolute error
0.3704
Root mean prior squared error
0.4954
Root mean squared error
0.4052
Root relative squared error
0.8179
SciMark benchmark
916.8903