DEVELOPMENT... OpenML
Run
129157

Run 129157

Task 3854 (Supervised Classification) car 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)_I20
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
0.983
Per class
Build CPU time
0.0299
Build memory
1214084613.213
F measure
0.9371
Per class
Kappa
0.8523
KB relative information score
1208.9691
Mean absolute error
0.1344
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9395
Per class
Predictive accuracy
0.9363
Prior entropy
0.8813
Recall
0.9363
Per class
Relative absolute error
0.3202
Root mean prior squared error
0.4582
Root mean squared error
0.2277
Root relative squared error
0.497
SciMark benchmark
937.9119