DEVELOPMENT... OpenML
Run
129796

Run 129796

Task 3898 (Supervised Classification) kc1-top5 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)_I40
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
0.5479
Per class
Build CPU time
0.098
Build memory
832622696.2759
F measure
0.9111
Per class
Kappa
-0.0226
KB relative information score
10.589
Mean absolute error
0.069
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.892
Per class
Predictive accuracy
0.931
Prior entropy
0.3323
Recall
0.931
Per class
Relative absolute error
0.6289
Root mean prior squared error
0.2284
Root mean squared error
0.2626
Root relative squared error
1.1496
SciMark benchmark
925.481