DEVELOPMENT... OpenML
Run
130018

Run 130018

Task 29 (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
0.8892
Per class
Build CPU time
0.1071
Build memory
480106534.4
F measure
0.8215
Per class
Kappa
0.6383
KB relative information score
430.0528
Mean absolute error
0.1869
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8215
Per class
Predictive accuracy
0.8217
Prior entropy
0.9913
Recall
0.8217
Per class
Relative absolute error
0.3783
Root mean prior squared error
0.497
Root mean squared error
0.3921
Root relative squared error
0.7889
SciMark benchmark
939.0159