DEVELOPMENT... OpenML
Run
128042

Run 128042

Task 21 (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
0.897
Per class
Build CPU time
0.011
Build memory
1534599086.1944
F measure
0.7131
Per class
Kappa
0.367
KB relative information score
-222.8027
Mean absolute error
0.2704
Mean prior absolute error
0.229
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
0.6808
Per class
Predictive accuracy
0.7541
Prior entropy
1.2099
Recall
0.7541
Per class
Relative absolute error
1.1809
Root mean prior squared error
0.3381
Root mean squared error
0.3305
Root relative squared error
0.9775
SciMark benchmark
929.5397