DEVELOPMENT... OpenML
Run
128925

Run 128925

Task 3591 (Supervised Classification) bank8FM 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
0.9339
Per class
Build CPU time
0.8141
Build memory
1354121259.2588
F measure
0.866
Per class
Kappa
0.7208
KB relative information score
5704.8124
Mean absolute error
0.1455
Mean prior absolute error
0.4815
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8661
Per class
Predictive accuracy
0.8666
Prior entropy
0.9731
Recall
0.8666
Per class
Relative absolute error
0.3023
Root mean prior squared error
0.4906
Root mean squared error
0.3398
Root relative squared error
0.6925
SciMark benchmark
937.9119