DEVELOPMENT... OpenML
Run
128518

Run 128518

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.585
Per class
Build CPU time
0.0087
Build memory
452000575.542
F measure
0.7897
Per class
Kappa
0.0939
KB relative information score
-72.3986
Mean absolute error
0.2109
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7785
Per class
Predictive accuracy
0.8032
Prior entropy
0.5956
Recall
0.8032
Per class
Relative absolute error
0.8569
Root mean prior squared error
0.3502
Root mean squared error
0.4028
Root relative squared error
1.1503
SciMark benchmark
929.5397