DEVELOPMENT... OpenML
Run
114410

Run 114410

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I20
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
0.7444
Per class
Build CPU time
0.0064
Build memory
1306832274.988
F measure
0.7466
Per class
Kappa
0.4866
KB relative information score
34.1576
Mean absolute error
0.2987
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7465
Per class
Predictive accuracy
0.747
Prior entropy
0.9919
Recall
0.747
Per class
Relative absolute error
0.6043
Root mean prior squared error
0.4971
Root mean squared error
0.4545
Root relative squared error
0.9144
SciMark benchmark
930.5854