DEVELOPMENT... OpenML
Run
114077

Run 114077

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I10
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.7796
Per class
Build CPU time
0.073
Build memory
1115909409.5456
F measure
0.9758
Per class
Kappa
0.6739
KB relative information score
315.6501
Mean absolute error
0.0227
Mean prior absolute error
0.0837
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
0.9776
Per class
Predictive accuracy
0.9785
Prior entropy
0.2628
Recall
0.9785
Per class
Relative absolute error
0.2712
Root mean prior squared error
0.2027
Root mean squared error
0.1472
Root relative squared error
0.7263
SciMark benchmark
917.4547