DEVELOPMENT... OpenML
Run
128204

Run 128204

Task 2273 (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
0.7237
Per class
Build CPU time
0.0082
Build memory
716406831.7838
F measure
0.6052
Per class
Kappa
0.1624
KB relative information score
13.1992
Mean absolute error
0.1993
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5697
Per class
Predictive accuracy
0.6486
Prior entropy
1.3842
Recall
0.6486
Per class
Relative absolute error
0.791
Root mean prior squared error
0.3504
Root mean squared error
0.341
Root relative squared error
0.973
SciMark benchmark
943.5504