DEVELOPMENT... OpenML
Run
128145

Run 128145

Task 1785 (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)_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
0.8901
Per class
Build CPU time
0.0101
Build memory
437462744.8
F measure
0.6566
Per class
Kappa
0.1974
KB relative information score
-1089.6459
Mean absolute error
0.2699
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6395
Per class
Predictive accuracy
0.7259
Prior entropy
1.2099
Recall
0.7259
Per class
Relative absolute error
1.1788
Root mean prior squared error
0.3381
Root mean squared error
0.3303
Root relative squared error
0.9769
SciMark benchmark
943.5504