DEVELOPMENT... OpenML
Run
128085

Run 128085

Task 239 (Supervised Classification) autos 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
0.7746
Per class
Build CPU time
0.004
Build memory
222541728
F measure
0.3076
Per class
Kappa
0.1721
KB relative information score
3.8493
Mean absolute error
0.2331
Mean prior absolute error
0.2263
Number of instances
67
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3747
Per class
Predictive accuracy
0.3582
Prior entropy
2.3268
Recall
0.3582
Per class
Relative absolute error
1.03
Root mean prior squared error
0.3398
Root mean squared error
0.3354
Root relative squared error
0.9872
SciMark benchmark
943.5504