DEVELOPMENT... OpenML
Run
128454

Run 128454

Task 3741 (Supervised Classification) fri_c2_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)_I10
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
0.8884
Per class
Build CPU time
0.027
Build memory
386358216
F measure
0.7992
Per class
Kappa
0.5938
KB relative information score
147.9287
Mean absolute error
0.2029
Mean prior absolute error
0.4954
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
0.8
Per class
Predictive accuracy
0.8
Prior entropy
0.9934
Recall
0.8
Per class
Relative absolute error
0.4095
Root mean prior squared error
0.4977
Root mean squared error
0.3985
Root relative squared error
0.8006
SciMark benchmark
943.5504