DEVELOPMENT... OpenML
Run
130290

Run 130290

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9475
Per class
Build CPU time
0.0147
Build memory
1033962164.6667
F measure
0.916
Per class
Kappa
0.8137
KB relative information score
106.5887
Mean absolute error
0.0834
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9163
Per class
Predictive accuracy
0.9167
Prior entropy
0.9347
Recall
0.9167
Per class
Relative absolute error
0.1833
Root mean prior squared error
0.4765
Root mean squared error
0.288
Root relative squared error
0.6045
SciMark benchmark
925.481