DEVELOPMENT... OpenML
Run
130392

Run 130392

Task 3890 (Supervised Classification) ada_prior 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)_I80
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
0.6435
Per class
Build CPU time
0.9068
Build memory
1337446097.8799
F measure
0.6749
Per class
Kappa
0.1142
KB relative information score
148.5069
Mean absolute error
0.3207
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6697
Per class
Predictive accuracy
0.6808
Prior entropy
0.8085
Recall
0.6808
Per class
Relative absolute error
0.8592
Root mean prior squared error
0.4319
Root mean squared error
0.532
Root relative squared error
1.2318
SciMark benchmark
925.481