DEVELOPMENT... OpenML
Run
115814

Run 115814

Task 40 (Supervised Classification) glass 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
0.8639
Per class
Build CPU time
2.2587
Build memory
1066002316.1495
F measure
0.7438
Per class
Kappa
0.6551
KB relative information score
139.5732
Mean absolute error
0.0701
Mean prior absolute error
0.2116
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
0.7472
Per class
Predictive accuracy
0.7523
Prior entropy
2.2315
Recall
0.7523
Per class
Relative absolute error
0.3315
Root mean prior squared error
0.3244
Root mean squared error
0.2632
Root relative squared error
0.8111
SciMark benchmark
913.3372