DEVELOPMENT... OpenML
Run
129090

Run 129090

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)_I20
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
0.9535
Per class
Build CPU time
0.0058
Build memory
1767083775.4546
F measure
0.9001
Per class
Kappa
0.7775
KB relative information score
103.8628
Mean absolute error
0.0914
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
0.9016
Per class
Predictive accuracy
0.9015
Prior entropy
0.9347
Recall
0.9015
Per class
Relative absolute error
0.2011
Root mean prior squared error
0.4765
Root mean squared error
0.281
Root relative squared error
0.5898
SciMark benchmark
909.5718

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