DEVELOPMENT... OpenML
Run
128701

Run 128701

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)_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
0.8708
Per class
Build CPU time
0.019
Build memory
789717328
F measure
0.7752
Per class
Kappa
0.5495
KB relative information score
124.1229
Mean absolute error
0.232
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
0.7753
Per class
Predictive accuracy
0.7753
Prior entropy
0.9913
Recall
0.7753
Per class
Relative absolute error
0.466
Root mean prior squared error
0.5008
Root mean squared error
0.4011
Root relative squared error
0.8009
SciMark benchmark
909.5718