DEVELOPMENT... OpenML
Run
116056

Run 116056

Task 3590 (Supervised Classification) analcatdata_vineyard 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)_I160
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
0.9278
Per class
Build CPU time
0.0743
Build memory
143191121.2137
F measure
0.8412
Per class
Kappa
0.6776
KB relative information score
316.7846
Mean absolute error
0.1597
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8421
Per class
Predictive accuracy
0.8419
Prior entropy
0.9912
Recall
0.8419
Per class
Relative absolute error
0.3234
Root mean prior squared error
0.4969
Root mean squared error
0.3395
Root relative squared error
0.6832
SciMark benchmark
925.481