DEVELOPMENT... OpenML
Run
128208

Run 128208

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.6954
Per class
Build CPU time
0.007
Build memory
836856696
F measure
0.6853
Per class
Kappa
0.087
KB relative information score
1.1404
Mean absolute error
0.2076
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6646
Per class
Predictive accuracy
0.7083
Prior entropy
1.3842
Recall
0.7083
Per class
Relative absolute error
0.9231
Root mean prior squared error
0.3095
Root mean squared error
0.31
Root relative squared error
1.0017
SciMark benchmark
943.5504