DEVELOPMENT... OpenML
Run
128050

Run 128050

Task 29 (Supervised Classification) credit-approval Uploaded 25-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8522
Per class
Build CPU time
0.0172
Build memory
557267600.8
F measure
0.768
Per class
Kappa
0.5302
KB relative information score
325.5776
Mean absolute error
0.2677
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
0.768
Per class
Predictive accuracy
0.7681
Prior entropy
0.9913
Recall
0.7681
Per class
Relative absolute error
0.5421
Root mean prior squared error
0.497
Root mean squared error
0.401
Root relative squared error
0.8068
SciMark benchmark
908.8705