DEVELOPMENT... OpenML
Run
129904

Run 129904

Task 259 (Supervised Classification) credit-approval 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
0.8947
Per class
Build CPU time
0.127
Build memory
211749608
F measure
0.8281
Per class
Kappa
0.6572
KB relative information score
151.3621
Mean absolute error
0.1693
Mean prior absolute error
0.4978
Number of instances
227
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8319
Per class
Predictive accuracy
0.8282
Prior entropy
0.9913
Recall
0.8282
Per class
Relative absolute error
0.3401
Root mean prior squared error
0.5008
Root mean squared error
0.3767
Root relative squared error
0.7522
SciMark benchmark
916.8903