DEVELOPMENT... OpenML
Run
128032

Run 128032

Task 9 (Supervised Classification) autos 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
0.8165
Per class
Build CPU time
0.0047
Build memory
1385057000.6244
F measure
0.6328
Per class
Kappa
0.5265
KB relative information score
46.2034
Mean absolute error
0.189
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6409
Per class
Predictive accuracy
0.6439
Prior entropy
2.3268
Recall
0.6439
Per class
Relative absolute error
0.8557
Root mean prior squared error
0.3318
Root mean squared error
0.3103
Root relative squared error
0.9353
SciMark benchmark
929.5397