DEVELOPMENT... OpenML
Run
128260

Run 128260

Task 3500 (Supervised Classification) squash-unstored 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)_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
0.8545
Per class
Build CPU time
0.0032
Build memory
1050088413.8462
F measure
0.7315
Per class
Kappa
0.526
KB relative information score
24.7604
Mean absolute error
0.1957
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7328
Per class
Predictive accuracy
0.7308
Prior entropy
1.3486
Recall
0.7308
Per class
Relative absolute error
0.5119
Root mean prior squared error
0.4353
Root mean squared error
0.3792
Root relative squared error
0.8712
SciMark benchmark
943.5504