DEVELOPMENT... OpenML
Run
129322

Run 129322

Task 283 (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)_I40
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
0.7273
Per class
Build CPU time
0.008
Build memory
1117832368
F measure
0.5164
Per class
Kappa
0.3655
KB relative information score
32.5063
Mean absolute error
0.3549
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5194
Per class
Predictive accuracy
0.5233
Prior entropy
1.9991
Recall
0.5233
Per class
Relative absolute error
0.9471
Root mean prior squared error
0.4328
Root mean squared error
0.4133
Root relative squared error
0.9549
SciMark benchmark
937.9119

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