DEVELOPMENT... OpenML
Run
130233

Run 130233

Task 3718 (Supervised Classification) boston 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)_I80
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
0.8766
Per class
Build CPU time
0.1224
Build memory
585196019.5415
F measure
0.8354
Per class
Kappa
0.6595
KB relative information score
330.7025
Mean absolute error
0.1659
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8354
Per class
Predictive accuracy
0.836
Prior entropy
0.9782
Recall
0.836
Per class
Relative absolute error
0.3421
Root mean prior squared error
0.4924
Root mean squared error
0.4026
Root relative squared error
0.8176
SciMark benchmark
916.8903