DEVELOPMENT... OpenML
Run
128859

Run 128859

Task 3499 (Supervised Classification) squash-stored 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
0.6789
Per class
Build CPU time
0.0092
Build memory
1929977279.6923
F measure
0.6108
Per class
Kappa
0.3643
KB relative information score
18.5226
Mean absolute error
0.2924
Mean prior absolute error
0.4135
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
0.6149
Per class
Predictive accuracy
0.6154
Prior entropy
1.4782
Recall
0.6154
Per class
Relative absolute error
0.7071
Root mean prior squared error
0.4538
Root mean squared error
0.4801
Root relative squared error
1.058
SciMark benchmark
909.5718