DEVELOPMENT... OpenML
Run
114119

Run 114119

Task 3859 (Supervised Classification) prnn_fglass 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
0.8037
Per class
Build CPU time
0.0519
Build memory
222629823.7009
F measure
0.7494
Per class
Kappa
0.4479
KB relative information score
90.8852
Mean absolute error
0.2545
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7482
Per class
Predictive accuracy
0.7523
Prior entropy
0.9397
Recall
0.7523
Per class
Relative absolute error
0.5551
Root mean prior squared error
0.4786
Root mean squared error
0.4673
Root relative squared error
0.9764
SciMark benchmark
945.0532