DEVELOPMENT... OpenML
Run
130961

Run 130961

Task 3857 (Supervised Classification) vehicle 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)_I160
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
0.9302
Per class
Build CPU time
0.4709
Build memory
793443544.5674
F measure
0.9009
Per class
Kappa
0.7385
KB relative information score
610.0381
Mean absolute error
0.0956
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9004
Per class
Predictive accuracy
0.9019
Prior entropy
0.8241
Recall
0.9019
Per class
Relative absolute error
0.2498
Root mean prior squared error
0.4374
Root mean squared error
0.2993
Root relative squared error
0.6842
SciMark benchmark
927.3354