DEVELOPMENT... OpenML
Run
128816

Run 128816

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)_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
0.8794
Per class
Build CPU time
0.0242
Build memory
1498809324.8
F measure
0.8039
Per class
Kappa
0.6025
KB relative information score
381.9342
Mean absolute error
0.2259
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
0.804
Per class
Predictive accuracy
0.8043
Prior entropy
0.9913
Recall
0.8043
Per class
Relative absolute error
0.4574
Root mean prior squared error
0.497
Root mean squared error
0.3801
Root relative squared error
0.7648
SciMark benchmark
909.5718