DEVELOPMENT... OpenML
Run
128339

Run 128339

Task 3612 (Supervised Classification) fri_c1_250_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)_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
0.8787
Per class
Build CPU time
0.0147
Build memory
473988135.2
F measure
0.7961
Per class
Kappa
0.5839
KB relative information score
137.395
Mean absolute error
0.2211
Mean prior absolute error
0.4897
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
0.7963
Per class
Predictive accuracy
0.796
Prior entropy
0.9852
Recall
0.796
Per class
Relative absolute error
0.4514
Root mean prior squared error
0.4948
Root mean squared error
0.403
Root relative squared error
0.8146
SciMark benchmark
943.5504