DEVELOPMENT... OpenML
Run
128601

Run 128601

Task 3895 (Supervised Classification) gina_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)_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
0.8457
Per class
Build CPU time
3.8768
Build memory
713480595.1096
F measure
0.7737
Per class
Kappa
0.5473
KB relative information score
1562.2011
Mean absolute error
0.2855
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7746
Per class
Predictive accuracy
0.7739
Prior entropy
0.9998
Recall
0.7739
Per class
Relative absolute error
0.5712
Root mean prior squared error
0.4999
Root mean squared error
0.4023
Root relative squared error
0.8047
SciMark benchmark
929.5397